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Staff-level engineer designs and maintains scalable backend services, cloud infrastructure, and automation systems while providing technical leadership across engineering teams.
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale.
As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.
More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains.
At Sonatype, we empower developers with best-in-class tools to build secure, high-quality software at scale. Our mission is to create a world where software is always secure and developers can innovate without fear. Trusted by thousands of organizations, including Fortune 500 companies, we are pioneers in software supply chain management, open-source security, and DevSecOps.
We’re looking for a Staff DevOps Engineer to join our Developer Experience team and help shape how Sonatype builds, deploys, and operates secure, reliable services at scale.
In this role, you’ll combine deep technical expertise with Staff-level leadership to improve our cloud infrastructure, developer platform, automation, and service delivery practices. You’ll partner closely with engineering teams to make it easier and safer to take services from development to production while improving reliability, observability, and operational excellence.
Design, develop, test, and maintain software that powers product provisioning, licensing, and purchasing capabilities across Sonatype’s platform.
Build scalable, reliable, and maintainable backend services using modern engineering practices.
Contribute to technical design discussions and help drive high-quality architectural decisions.
Collaborate closely with engineers, product managers, and cross-functional teams to deliver impactful features.
Write clean, well-tested, and maintainable code while participating in code reviews.
Troubleshoot production issues and continuously improve system performance, reliability, and scalability.
Mentor and coach other engineers through technical guidance, design reviews, and knowledge sharing while remaining deeply involved in day-to-day development.
Contribute to automation, infrastructure improvements, and cloud-native engineering practices.
You deliver high-quality, maintainable software that reliably supports Sonatype’s provisioning, licensing, and purchasing capabilities.
You become a trusted technical contributor who proactively solves complex engineering problems.
You collaborate effectively across engineering teams, helping drive technical excellence and delivering value to customers.
You mentor and support fellow engineers through thoughtful feedback, technical guidance, and code reviews while remaining a highly productive individual contributor.
You continuously improve the reliability, scalability, and maintainability of the systems your team owns.
You embrace ownership, take initiative, and consistently deliver meaningful impact through hands-on software development.
6+ years of professional software engineering experience developing production-grade applications.
Direct experience using agent-driven development and code review.
Strong experience building backend applications with Java.
Experience with additional programming languages like Golang and Python.
Experience working with cloud platforms, particularly AWS.
Hands-on experience with containerization and infrastructure technologies such as Docker, Terraform, and Ansible.
Experience with build and dependency management tools such as Maven.
Experience working with relational databases such as PostgreSQL or MySQL.
Experience with event-driven architectures and microservices.
Strong understanding of software design principles, testing, debugging, and distributed systems.
A collaborative mindset with excellent communication skills and a passion for mentoring fellow engineers.
A desire to remain highly technical and hands-on while contributing technical leadership within the team.
Exposure to Microsoft Azure and/or Google Cloud Platform (GCP).
Experience building or supporting commercial platforms involving licensing, provisioning, subscription management, or purchasing systems.
Experience working in Agile development environments.
Familiarity with DevOps and CI/CD best practices.
At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Staff Platform Engineer owns technical strategy for a product area, leads architectural decisions across teams, and balances hands-on development with strategic leadership.
About Nintex:
At Nintex, we are transforming the way people work, everywhere.
As the global standard for process intelligence and automation, we’re trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build.
We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go.
Working in engineering:
Working at Nintex as an engineer means building more than just software; it’s about making a tangible impact with every line of code. Our engineers are process experts, developing the industry’s most complete process and automation platform to transform the way people work. If you’re interested, curious and want to learn and do more, the sky is the limit here. We take a solutions-oriented and collaborative approach, constantly innovating our business and products.
About the role:
As a Staff Platform Engineer, you own the technical strategy for a key product area or platform, ensuring long-term scalability, maintainability, and alignment with business objectives.
For platform-focused roles, you contribute to the internal developer platform features – help defining roadmaps informed by adoption metrics, feedback loops and platform SLAs – all in service of your team’s developer experience.
You exhibit advanced wide-ranging experience, applying in-depth professional knowledge and commercial acumen to resolve complex technical challenges and define scalable procedures.
You lead technical direction across a feature team or product domain, drive architectural decisions, and influence multiple teams to ensure consistency -balancing hands-on technical contribution with strategic leadership.
You develop deep domain expertise and actively influence engineering strategy at the organizational level, serving as a senior technical leader who is accountable for platform reliability, scalability, and the technical growth of engineers around them.
Your contribution will be:
• You own technical strategy for the infrastructure of a key product area or platform, ensuring long-term scalability, maintainability, and alignment with business objectives
• You lead technical direction for a feature team or product domain infrastructure, making critical architectural decisions
• You understand and work on complex issues where analysis requires in-depth evaluation of variable factors
• You determine methods and procedures on new assignments, exercising judgment in selecting and adapting complex techniques
• You direct the application of existing principles and guide development of new policies and ideas
• You anticipate and mitigate technical risks for large projects, planning proactively to avoid issues
• You drive architectural decisions and technical strategy across multiple teams and systems
• You influence multiple teams, ensuring consistency in technical approaches, frameworks, and architectural decisions
• You network with key contacts outside your area of expertise, frequently advising others on complex matters
• You understand the interrelationships of different disciplines and ensure cohesive technical solutions
• You develop deep domain expertise while beginning to influence engineering strategy at the organizational level
• You advocate for long-term technical solutions that support business growth and scalability
• You collaborate cross-functionally to ensure scalability and efficiency across the organization
• You work closely with product managers, design leads, and other stakeholders to drive alignment on engineering priorities
• You adapt your style and use persuasion in delivering messages that relate to the wider business
• You may be accountable through team for delivery of tactical business targets
• You translate business requirements into technical strategy and execution plans
• You drive cross-team collaboration and execution on strategic initiatives
• You define and enforce engineering standards, ensuring technical excellence across teams
• You mentor engineers at all levels and foster best practices throughout the organization, providing guidance on technical challenges and career development
• You establish coding standards, architectural patterns, and development practices
• You lead technical reviews and ensure quality across team deliverables
• You create and maintain technical documentation and knowledge sharing initiatives
• You define engineering roadmaps, aligning technical execution with business objectives and managing delivery expectations
• You lead teams in defining technical direction and ensuring successful implementation
• You develop and manage operational initiatives to deliver tactical results
• You translate functional plans into operational processes and guide execution
• Your work is reviewed upon completion and is consistent with departmental objectives
• You maintain significant hands-on technical contributions as a senior individual contributor
• You continue to write code, design systems, review architectures, and solve complex technical problems
• You lead by example, demonstrating technical excellence in your own work
• You participate in on-call rotations and incident response as a senior technical leader
• You implement critical features and infrastructure components for your platform or product area
• You contribute to knowledge sharing through documentation, tech talks, and training sessions
• You guide best practices across teams, fostering a culture of engineering excellence
• You help engineers develop their skills in Platform, infrastructure, and system design
• You serve as a role model for technical excellence and professional growth
• Attend and actively participate in team meetings and ceremonies applicable to current focus
• Participate in the interview process for new team members
• Help design and implement golden paths, service templates and self-service capabilities that accelerate developer productivity across teams
• Drive improvement that reduces cognitive load for engineers
To be successful, we think you need:
Minimum Requirements:
• Bachelor’s degree in computer science, Engineering, or related technical field; or equivalent combination of education and experience
• 8+ years of professional experience in Platform, Site Reliability Engineering, Infrastructure Engineering, or related field
• Demonstrated expertise in architecting and implementing large-scale systems
• Proven track record of technical leadership and influencing multiple teams
• Expert-level knowledge of cloud platforms, infrastructure as code, and Platform practices
• Strong strategic thinking and ability to balance technical and business priorities
• Experience defining technical strategy and driving adoption across teams
Preferred Qualifications:
• Master’s degree in computer science, Engineering, or related field
• Previous experience leading large technical initiatives across multiple teams
• Multiple advanced certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect Professional)
• Experience defining technical strategy and roadmaps for complex systems
• Strong background in building engineering culture and best practices
• Experience working closely with product management and executive leadership
• Contributions to open-source projects or recognized thought leadership in the industry
What’s in it for you?
Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is a hybrid role in our local Nintex office.
While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including
View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf.
Equity Statement : Preference will be given to People Living with Disability who are members of the designated groups in line with the Employment Equity Plan and Targets of the Company.
Designs and architects front-end systems, leads technical direction, and mentors engineering teams on modern web application development.
Principal engineer leads technical architecture and strategy while championing AI adoption across engineering teams and building scalable production systems.
At Koala Health, we have our eyes set on an ambitious goal: to make managing your pet’s health simple and delightful. We’ve already launched our pharmacy service that allows people to shop for their pets’ medications and supplements online and get them delivered to their doorstep in presorted medication pouches. Now we’re focused on continuing to improve that experience while building a suite of new products and services that will make the pet health experience even better. We are hiring a Principal Software Engineer to serve as a technical leader across the engineering organization. This is a highly hands-on role for an experienced engineer who enjoys building production systems while also influencing architecture, engineering standards, developer productivity, and the adoption of AI throughout the software development lifecycle.You will work closely with engineering, product, operations, and company leadership to identify opportunities, define technical direction, and drive execution on initiatives that have company-wide impact.Success in this role means:
Define and evolve architectural standards across customer-facing and operational systems.
Lead the design of complex software systems, integrations, workflows, and data models.
Drive long-term technical strategy while balancing short-term business priorities.
Identify technical risks and opportunities early and develop pragmatic plans to address them.
Lead architectural reviews and guide major technical decisions across teams.
Establish patterns that improve reliability, maintainability, scalability, and developer productivity.
Champion AI-assisted software development across the organization.
Define best practices for leveraging LLMs in coding, testing, debugging, documentation, code review, and operational workflows.
Design and build agentic systems that automate engineering and business processes.
Evaluate emerging AI technologies and determine where they can create measurable value.
Help iterate on Koala’s approach to AI-enabled software development and organizational productivity.
Ensure AI systems are implemented responsibly, securely, and with appropriate operational safeguards.
Raise the bar for code quality, testing, documentation, and operational readiness.
Drive improvements in CI/CD, deployment safety, developer experience, and engineering workflows.
Establish standards for observability, monitoring, alerting, and incident response.
Introduce tooling and automation that improve engineering velocity without sacrificing quality.
Foster a culture of ownership, continuous improvement, and technical excellence.
Partner closely with Product, Operations, Pharmacy, Customer Care, Growth, and Finance teams to understand business challenges and design effective solutions.
Translate ambiguous business requirements into scalable technical approaches.
Lead initiatives from concept through implementation, rollout, and operational support.
Ensure technical decisions align with company goals and customer outcomes.
Help mentor engineers across all experience levels.
Provide thoughtful guidance through design reviews, architecture discussions, and code reviews.
Help develop engineering processes that scale as the organization grows.
Serve as a trusted technical advisor to cross-functional stakeholders.
Influence engineering culture through technical leadership rather than organizational authority.
We believe AI is transforming both software development and business operations. We’re looking for an engineer who wants to help shape that transformation while remaining deeply hands-on. This role offers the opportunity to architect critical systems, influence engineering culture, establish AI-first development practices, and help build the technology foundation for the next stage of Koala’s growth.
If you’re excited about combining strong engineering fundamentals, practical AI expertise, and meaningful business impact, we’d love to talk.
$150,000 - $160,000 a year
The target base salary range for this role is dependent on experience, skills, qualifications, and geographic location. In addition to base salary, this role is eligible for a comprehensive benefits package, including medical, dental, vision, 401(k), paid time off, and other company-sponsored benefits.
Koala Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Lead Engineer designs and builds order management systems, leads technical initiatives from design through production, and partners cross-functionally to deliver scalable solutions for checkout and fulfillment.
Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.
About the Role
As a Lead Engineer on the Order Management team, you will help set the technical direction for the systems that power checkout, order creation and lifecycle management, fulfillment orchestration, and integrations with critical internal and third-party partners. This is a hands-on technical leadership role where you will own complex initiatives from discovery through delivery, translating business and operational objectives into scalable technical solutions.
You will partner closely with Product Managers, Engineering Managers, engineers, and teams across Inventory, Fulfillment, Client Experience, and Operations to coordinate work across services, data flows, and operational processes. You will design and build production systems, lead technical decisions through ambiguity, and raise the bar for reliability, maintainability, and operational readiness. Your work will directly impact client trust, revenue, and the efficiency of our fulfillment operations.
Responsibilities:
How AI and tools show up in your day-to-day work:
About You
This is what you’ll need to succeed in this role from day 1.
Requirements:
Nice to Have:
You’ll love working at Stitch Fix because you will…
Compensation and Benefits
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
Salary Range
$111,800—$186,000 USD
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy
Recruiting Fraud Alert:
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.
Lead Engineer designs and builds order management systems, leads technical initiatives across checkout and fulfillment, and drives architectural decisions for scalable production services.
Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.
About the Role
As a Lead Engineer on the Order Management team, you will help set the technical direction for the systems that power checkout, order creation and lifecycle management, fulfillment orchestration, and integrations with critical internal and third-party partners. This is a hands-on technical leadership role where you will own complex initiatives from discovery through delivery, translating business and operational objectives into scalable technical solutions.
You will partner closely with Product Managers, Engineering Managers, engineers, and teams across Inventory, Fulfillment, Client Experience, and Operations to coordinate work across services, data flows, and operational processes. You will design and build production systems, lead technical decisions through ambiguity, and raise the bar for reliability, maintainability, and operational readiness. Your work will directly impact client trust, revenue, and the efficiency of our fulfillment operations.
Responsibilities:
How AI and tools show up in your day-to-day work:
About You
This is what you’ll need to succeed in this role from day 1.
Requirements:
Nice to Have:
You’ll love working at Stitch Fix because you will…
Compensation and Benefits
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
Salary Range
$111,800—$186,000 USD
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy
Recruiting Fraud Alert:
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.
Principal engineer leads technical architecture and strategy while championing AI adoption across engineering and operational workflows.
At Koala Health, we have our eyes set on an ambitious goal: to make managing your pet’s health simple and delightful. We’ve already launched our pharmacy service that allows people to shop for their pets’ medications and supplements online and get them delivered to their doorstep in presorted medication pouches. Now we’re focused on continuing to improve that experience while building a suite of new products and services that will make the pet health experience even better. We are hiring a Principal Software Engineer to serve as a technical leader across the engineering organization. This is a highly hands-on role for an experienced engineer who enjoys building production systems while also influencing architecture, engineering standards, developer productivity, and the adoption of AI throughout the software development lifecycle.You will work closely with engineering, product, operations, and company leadership to identify opportunities, define technical direction, and drive execution on initiatives that have company-wide impact.Success in this role means:
Define and evolve architectural standards across customer-facing and operational systems.
Lead the design of complex software systems, integrations, workflows, and data models.
Drive long-term technical strategy while balancing short-term business priorities.
Identify technical risks and opportunities early and develop pragmatic plans to address them.
Lead architectural reviews and guide major technical decisions across teams.
Establish patterns that improve reliability, maintainability, scalability, and developer productivity.
Champion AI-assisted software development across the organization.
Define best practices for leveraging LLMs in coding, testing, debugging, documentation, code review, and operational workflows.
Design and build agentic systems that automate engineering and business processes.
Evaluate emerging AI technologies and determine where they can create measurable value.
Help iterate on Koala’s approach to AI-enabled software development and organizational productivity.
Ensure AI systems are implemented responsibly, securely, and with appropriate operational safeguards.
Raise the bar for code quality, testing, documentation, and operational readiness.
Drive improvements in CI/CD, deployment safety, developer experience, and engineering workflows.
Establish standards for observability, monitoring, alerting, and incident response.
Introduce tooling and automation that improve engineering velocity without sacrificing quality.
Foster a culture of ownership, continuous improvement, and technical excellence.
Partner closely with Product, Operations, Pharmacy, Customer Care, Growth, and Finance teams to understand business challenges and design effective solutions.
Translate ambiguous business requirements into scalable technical approaches.
Lead initiatives from concept through implementation, rollout, and operational support.
Ensure technical decisions align with company goals and customer outcomes.
Help mentor engineers across all experience levels.
Provide thoughtful guidance through design reviews, architecture discussions, and code reviews.
Help develop engineering processes that scale as the organization grows.
Serve as a trusted technical advisor to cross-functional stakeholders.
Influence engineering culture through technical leadership rather than organizational authority.
We believe AI is transforming both software development and business operations. We’re looking for an engineer who wants to help shape that transformation while remaining deeply hands-on. This role offers the opportunity to architect critical systems, influence engineering culture, establish AI-first development practices, and help build the technology foundation for the next stage of Koala’s growth.
If you’re excited about combining strong engineering fundamentals, practical AI expertise, and meaningful business impact, we’d love to talk.
$150,000 - $160,000 a year
The target base salary range for this role is dependent on experience, skills, qualifications, and geographic location. In addition to base salary, this role is eligible for a comprehensive benefits package, including medical, dental, vision, 401(k), paid time off, and other company-sponsored benefits.
Koala Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Technical lead modernizes legacy enterprise applications into cloud-ready microservices while mentoring engineers and defining architecture standards for a cross-functional team.
Join us and do work that matters: use your skills to improve how your government serves the public! Pluribus Digital partners with our government customers to design, develop, and deliver useful and impactful digital products. We are a hands-on digital services consultancy – part technologists, part change agents, and all heart. We employ modern best practices in all that we do as we work to solve problems in public health, financial industry regulation, granting citizenship and asylum, and identity and access management.
We are seeking an experienced Engineering Technical Lead to drive the modernization of legacy enterprise applications supporting the TTB program- a bureau within the Department of the Treasury responsible for regulating and collecting taxes on alcohol, tobacco, firearms, and ammunition, and for overseeing related permitting and compliance. In this role, you will provide hands-on technical leadership and guide a small, cross-functional team as we transform legacy systems into a modern, cloud-ready, microservices-based platform.
You will define technical direction, uphold engineering best practices, and collaborate closely with product, security, and operations partners to deliver secure, scalable, and maintainable systems. This is a highly visible role for a leader who enjoys solving complex legacy challenges while mentoring engineers and shaping the future state of the platform.
Pluribus Digital offers a competitive salary that is determined at the time of offer. We are hiring for multiple levels under this job posting. Compensation will be based on experience and qualifications, with salary ranges aligned accordingly. If a candidate is a strong fit at a more junior or senior level to what is outlined here, we will assess them accordingly and apply the appropriate salary range during the hiring process. The range for this specific role is from $155,000 to $165,000 depending on experience. Salary is augmented with opportunity to earn annual bonus and medical/dental/vision benefits, PTO, company paid life insurance and a generous 401k match program. Details on benefits can be found here:
Staff full-stack engineer leads large-scale technical initiatives, designs subscription management systems, and builds AI agents for customer retention at scale.
Location: Remote
Ordergroove is building the future of Relationship Commerce by providing an innovative, customizable, and reliable subscriptions and incentives platform. We’re looking for bright, talented people who are excited about innovation, customer experience, and the rapidly changing world of Relationship Commerce.
More than 11% of American adults have a subscription powered by Ordergroove. We’re hiring a Staff Full Stack Software Engineer to help us bring relationship commerce to the next level with autonomous subscription programs.
The Merchant Teambuilds the high-traffic, low-latency subscription experiences behind some of the world’s most recognizable consumer brands. We build the key levers that merchants use to manage their subscription program, and the interfaces customers use to create and manage their subscriptions. Our team ships code that is used as a customizable base for brands across e-commerce and which is resilient enough to stay fast through the worst Black Friday and Cyber Monday surges.
The engineers who thrive on our team are builders with a growth mindset. They’re intrinsically invested in the product and customer experience, not just the ticket in front of them. They like solving hard problems and keep learning what makes a subscription experience worth keeping. That curiosity comes with ownership. They stand behind what they ship to millions of subscribers, and that care shows up directly in customer retention, in trust from the brands we power, and in the kind of work this team gets to take on next.
We’re looking for a Staff Full Stack Software Engineer who can help us continue and grow this mission. Our ideal candidate leads large initiatives end to end, operates with real autonomy, and makes the whole team better through how they design, document, and mentor. Someone who is genuinely excited about where AI is taking this work and who wants to do the most impactful engineering of their career where what you build actually matters.
Compensation: Starting at $170,000 base salary, plus stock options and competitive benefits.
Ordergroove powers recurring revenue for the world’s largest and most innovative retailers including L’Oreal, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships.
At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have a flexible PTO, a totally remote workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits.
At Ordergroove, we want to hire, develop, and retain the best talent, making Ordergroove a top destination to grow your career.
Lead Engineer designs and builds order management systems, leads complex technical initiatives from discovery to production, and partners across teams to scale checkout and fulfillment infrastructure.
Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.
About the Role
As a Lead Engineer on the Order Management team, you will help set the technical direction for the systems that power checkout, order creation and lifecycle management, fulfillment orchestration, and integrations with critical internal and third-party partners. This is a hands-on technical leadership role where you will own complex initiatives from discovery through delivery, translating business and operational objectives into scalable technical solutions.
You will partner closely with Product Managers, Engineering Managers, engineers, and teams across Inventory, Fulfillment, Client Experience, and Operations to coordinate work across services, data flows, and operational processes. You will design and build production systems, lead technical decisions through ambiguity, and raise the bar for reliability, maintainability, and operational readiness. Your work will directly impact client trust, revenue, and the efficiency of our fulfillment operations.
Responsibilities:
How AI and tools show up in your day-to-day work:
About You
This is what you’ll need to succeed in this role from day 1.
Requirements:
Nice to Have:
You’ll love working at Stitch Fix because you will…
Compensation and Benefits
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
Salary Range
$111,800—$186,000 USD
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy
Recruiting Fraud Alert:
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Builds and maintains AI-powered software systems as a senior-level engineer at a market research and analytics firm.
Directs production engineering efforts to build reliability, automation, and security infrastructure that enables engineering teams to move faster and more confidently.
Architect and build production-grade agentic AI systems and enterprise-scale platform infrastructure for identity security at Fortune 500 scale.
Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza’s Access Graph platform maps an organization’s entire identity ecosystem across users, groups, roles, policies, permissions, and resources providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance.
Founded in 2020 and headquartered in Redwood City, California, Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza’s AI-native Access Graph with ServiceNow’s AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents.  For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry.
The Access AI team is the customer-obsessed engineering group building the agentic AI and enterprise-scale harness platform that powers agents for Access Management across all Identity Security Products. We build AI as foundational platform infrastructure — prioritizing robustness, performance, safety, and real-world customer impact at scale.
Types of problems you’ll get to work on
You will architect, build, and operate production-grade agentic AI systems—autonomous agents that reason over enterprise data and execute mission-critical identity security actions at Fortune 500 scale. As a tier-one technical leader at the intersection of Agent research and large-scale backend systems, you will shape the architectural patterns, scalability guardrails, and strategic vision for autonomous enterprise security.
Your core focus areas:
Qualifications
To be successful in this role you have:
Nice to Have
Why join us
Intelligence is commoditizing. Context and execution are not. With over 30 billion access permissions under management, global enterprises in Fortune 500 trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance, we are building the system that makes AI actually work inside the enterprise to secure Enterprises.
Redefining Agentic Identity Governance:
Autonomous Enterprise: Self-driving access management grounded on identity and permission data from different sources — context no frontier lab can replicate,
For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Principal engineer leads architectural design and technical execution for Toast's Team Suite products, mentoring developers and driving modern patterns including agentic workflows.
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company’s future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.
Your mission is to lead the architectural design, technical execution, and implementation across the foundational domains of Toast’s Team Suite products, Payroll and Team Management. The Payroll product delivers daily value to its users - enabling restaurant owners to pay their staff and pay their taxes, and enabling transparency for wages and tips for restaurant employees. The Team Management suite allows restaurants to hire, manage, and schedule their staff.
As a Principal Engineer, you will serve as a key technical leader in the group, driving modern architectural patterns—including spec-driven development and agentic workflows—to deliver high-impact software.
A day in the life (Responsibilities)
What you’ll need to thrive (Requirements)
AI at Toast
At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-REMOTE
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
Zone A
$230,000—$368,000 USD
Zone B
$200,000—$320,000 USD
Zone C
$180,000—$288,000 USD
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region:Â https://careers.toasttab.com/locations-toast
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
---—
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Staff engineer who designs and leads development of production AI agents and agentic systems in healthcare infrastructure, setting technical direction for teams.
Location: Remote (US)
Virtual care only works if the infrastructure behind it does. Wheel builds that infrastructure — the systems that let telehealth run at scale for the patients, clinicians, and companies depending on it. We’re not bolting AI onto old workflows; we’re rebuilding them from the ground up. Our mission to put great healthcare in everyone’s reach means replacing manual, ad-hoc processes with intelligent, agent-powered systems that carry real operational load. We’re innovating in a live, regulated healthcare environment where getting it right matters. This is the next architecture of virtual care, and we’re building it now.
A staff-level engineer who sets technical direction for agentic systems and then leads the work to ship them. You’ve built and operated agents in production, you know where they break, and you have opinions — held loosely, argued well — about how to build them so they hold up in a regulated environment.
You operate with the scope of a domain owner, not a task owner. You take a problem that isn’t yet well-formed, define it, sequence it, and lead a group of engineers to a shipped and measured outcome. Your impact shows up in other people’s work as much as your own: the patterns they reuse, the design decisions they don’t have to relitigate, the ambiguity you removed before it cost the team a quarter.
You treat AI two ways at once — as a product capability you build with judgment, and as a development multiplier you use fluently — and you’re the person who raises the org’s bar on both.
Own the technical direction for a significant AI-native domain: agent architecture, platform abstractions, or evaluation and guardrail infrastructure.
Act as tech lead for a squad or a cross-team initiative — decomposing ambiguous problems, sequencing delivery, identifying and clearing blockers, and keeping the team pointed at the outcome rather than the ticket.
Write and review design docs; make and document the load-bearing architectural calls, including the ones where the answer is “not yet” or “buy, don’t build.”
Establish clear technical ownership where it’s currently diffuse, so decisions have a named owner and reviews don’t stall.
Design and build production AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Set the standards for what “production-ready agent” means here — testability, rollback safety, cost ceilings, failure modes, human-in-the-loop boundaries — and hold the bar in review.
Take on the hardest parts of the build yourself. This is a hands-on role; you are expected to be in the code.
Build and extend the abstraction layers that let teams integrate AI capabilities cleanly and safely across our services.
Define the shared libraries, patterns, and guardrails other teams build on, and drive their adoption — a pattern nobody uses isn’t a pattern.
Treat responsible use of AI on sensitive data as a hard engineering requirement, and translate privacy, security, and compliance constraints into concrete architecture rather than deferring them.
Own full-stack delivery in TypeScript/Node.js and Python: service and API layers, data-processing jobs, and the internal interfaces on top of them.
Leverage modern cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting in production, including on-call, and improve the operational posture of what you inherit.
Partner directly with product, operations, clinical operations, and business leaders as both technologist and trusted advisor — helping define which use cases are worth building and which aren’t.
Lead design sessions, proofs of concept, and build-with sessions alongside the people who’ll use the workflows, building trust and adoption as you go.
Communicate trade-offs, risks, and recommendations clearly to technical and non-technical audiences, up to and including the executive team.
Influence roadmap and prioritization with a clear-eyed read of technical risk, sequencing, and cost.
Own the evaluation strategy for your domain: define the metrics, test harnesses, and evaluation plans that measure agent accuracy, latency, safety, and cost-effectiveness.
Instrument the systems so their behavior is legible after the fact, not just at demo time.
Iterate rapidly on data, feedback, and changing requirements — and kill approaches that aren’t working, early and visibly.
Mentor and grow engineers through code review, design review, pairing, and direct feedback; make the people around you measurably better.
Craft reusable patterns, documentation, and best practices that raise the engineering bar beyond your own team.
Anchor our internal community of practice around AI-native and agentic engineering.
First 90 days: you have a working map of our AI platform surface area, have shipped something real, and have a point of view on where the leverage is.
First 6 months: you own a domain outright, are leading a team’s technical direction within it, and there’s an evaluation story for the agents you’ve shipped.
First year: patterns you established are in use by teams you don’t sit on, and engineers point to you as the reason their work got better.
8+ years building and operating production software, with meaningful full-stack depth across a TypeScript/Node.js backend and at least one other language (Python strongly preferred).
A track record of technical leadership as an individual contributor: owning a domain, leading multi-engineer efforts to completion, and driving decisions across team boundaries without positional authority.
Hands-on experience designing and deploying agentic systems in production — retrieval, orchestration, tool/function calling, and evaluation — with a clear-eyed view of where LLMs and agents work and where they don’t.
Demonstrated ability to take a loosely defined problem and drive it to a shipped, measured, agent-powered workflow.
A working practice of using AI development tools as a force multiplier, with judgment about when to trust, verify, or override them.
Strong cloud-native engineering fundamentals; comfort with CI/CD, observability, and running what you build.
Fluency with relational data and SQL.
Clear written and verbal communication, including the ability to write a design doc that changes minds. This is a remote, cross-functional role.
Comfort with ambiguity and a bias toward shipping measurable results.
Experience with agent frameworks and multi-agent architectures at production scale.
Model evaluation and guardrail infrastructure — measuring output quality, catching regressions, keeping agents inside safe bounds.
Experience building platform capabilities consumed by other engineering teams.
Background in workflow automation, forecasting-driven products, or supply-demand matching.
Prior work in a regulated environment (healthcare/HIPAA, fintech, etc.) and an instinct for the constraints that come with using AI on sensitive data.
Experience mentoring engineers or acting as a formal tech lead.
Remote-first (US), fast-moving, tight loops between engineering, product, and the business. We’re an AI-forward engineering org — we expect AI in the toolchain and in the product, and we measure outcomes over activity. We handle sensitive healthcare data under strict controls; privacy, security, and responsible use of AI are engineering requirements here, not afterthoughts.
Pay Range: $185,725-$264,500 USD
Final offer amounts are determined by multiple factors including, but not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
As an employee of Wheel, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:
Medical, Dental and Vision
Ancillary: Life, Short and Long Term Disability
401K match
Flexible PTO
Parental Leave
Stock options
Additional programs and perks
Wheel is committed to equal employment opportunities for all team members. Every decision we make regarding employment is solely based on merit, competence, and performance. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Research shows that underrepresented groups typically apply only if they meet 100% of the criteria listed. At Wheel, we encourage women, people of color, and LGBTQ+ job seekers to apply for positions even if they don’t check every box for the role.
Staff-level engineer who designs and leads production AI agent systems, sets technical direction for agentic infrastructure, and mentors teams building regulated healthcare AI applications.
Location: Remote (US)
Virtual care only works if the infrastructure behind it does. Wheel builds that infrastructure — the systems that let telehealth run at scale for the patients, clinicians, and companies depending on it. We’re not bolting AI onto old workflows; we’re rebuilding them from the ground up. Our mission to put great healthcare in everyone’s reach means replacing manual, ad-hoc processes with intelligent, agent-powered systems that carry real operational load. We’re innovating in a live, regulated healthcare environment where getting it right matters. This is the next architecture of virtual care, and we’re building it now.
A staff-level engineer who sets technical direction for agentic systems and then leads the work to ship them. You’ve built and operated agents in production, you know where they break, and you have opinions — held loosely, argued well — about how to build them so they hold up in a regulated environment.
You operate with the scope of a domain owner, not a task owner. You take a problem that isn’t yet well-formed, define it, sequence it, and lead a group of engineers to a shipped and measured outcome. Your impact shows up in other people’s work as much as your own: the patterns they reuse, the design decisions they don’t have to relitigate, the ambiguity you removed before it cost the team a quarter.
You treat AI two ways at once — as a product capability you build with judgment, and as a development multiplier you use fluently — and you’re the person who raises the org’s bar on both.
Own the technical direction for a significant AI-native domain: agent architecture, platform abstractions, or evaluation and guardrail infrastructure.
Act as tech lead for a squad or a cross-team initiative — decomposing ambiguous problems, sequencing delivery, identifying and clearing blockers, and keeping the team pointed at the outcome rather than the ticket.
Write and review design docs; make and document the load-bearing architectural calls, including the ones where the answer is “not yet” or “buy, don’t build.”
Establish clear technical ownership where it’s currently diffuse, so decisions have a named owner and reviews don’t stall.
Design and build production AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Set the standards for what “production-ready agent” means here — testability, rollback safety, cost ceilings, failure modes, human-in-the-loop boundaries — and hold the bar in review.
Take on the hardest parts of the build yourself. This is a hands-on role; you are expected to be in the code.
Build and extend the abstraction layers that let teams integrate AI capabilities cleanly and safely across our services.
Define the shared libraries, patterns, and guardrails other teams build on, and drive their adoption — a pattern nobody uses isn’t a pattern.
Treat responsible use of AI on sensitive data as a hard engineering requirement, and translate privacy, security, and compliance constraints into concrete architecture rather than deferring them.
Own full-stack delivery in TypeScript/Node.js and Python: service and API layers, data-processing jobs, and the internal interfaces on top of them.
Leverage modern cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting in production, including on-call, and improve the operational posture of what you inherit.
Partner directly with product, operations, clinical operations, and business leaders as both technologist and trusted advisor — helping define which use cases are worth building and which aren’t.
Lead design sessions, proofs of concept, and build-with sessions alongside the people who’ll use the workflows, building trust and adoption as you go.
Communicate trade-offs, risks, and recommendations clearly to technical and non-technical audiences, up to and including the executive team.
Influence roadmap and prioritization with a clear-eyed read of technical risk, sequencing, and cost.
Own the evaluation strategy for your domain: define the metrics, test harnesses, and evaluation plans that measure agent accuracy, latency, safety, and cost-effectiveness.
Instrument the systems so their behavior is legible after the fact, not just at demo time.
Iterate rapidly on data, feedback, and changing requirements — and kill approaches that aren’t working, early and visibly.
Mentor and grow engineers through code review, design review, pairing, and direct feedback; make the people around you measurably better.
Craft reusable patterns, documentation, and best practices that raise the engineering bar beyond your own team.
Anchor our internal community of practice around AI-native and agentic engineering.
First 90 days: you have a working map of our AI platform surface area, have shipped something real, and have a point of view on where the leverage is.
First 6 months: you own a domain outright, are leading a team’s technical direction within it, and there’s an evaluation story for the agents you’ve shipped.
First year: patterns you established are in use by teams you don’t sit on, and engineers point to you as the reason their work got better.
8+ years building and operating production software, with meaningful full-stack depth across a TypeScript/Node.js backend and at least one other language (Python strongly preferred).
A track record of technical leadership as an individual contributor: owning a domain, leading multi-engineer efforts to completion, and driving decisions across team boundaries without positional authority.
Hands-on experience designing and deploying agentic systems in production — retrieval, orchestration, tool/function calling, and evaluation — with a clear-eyed view of where LLMs and agents work and where they don’t.
Demonstrated ability to take a loosely defined problem and drive it to a shipped, measured, agent-powered workflow.
A working practice of using AI development tools as a force multiplier, with judgment about when to trust, verify, or override them.
Strong cloud-native engineering fundamentals; comfort with CI/CD, observability, and running what you build.
Fluency with relational data and SQL.
Clear written and verbal communication, including the ability to write a design doc that changes minds. This is a remote, cross-functional role.
Comfort with ambiguity and a bias toward shipping measurable results.
Experience with agent frameworks and multi-agent architectures at production scale.
Model evaluation and guardrail infrastructure — measuring output quality, catching regressions, keeping agents inside safe bounds.
Experience building platform capabilities consumed by other engineering teams.
Background in workflow automation, forecasting-driven products, or supply-demand matching.
Prior work in a regulated environment (healthcare/HIPAA, fintech, etc.) and an instinct for the constraints that come with using AI on sensitive data.
Experience mentoring engineers or acting as a formal tech lead.
Remote-first (US), fast-moving, tight loops between engineering, product, and the business. We’re an AI-forward engineering org — we expect AI in the toolchain and in the product, and we measure outcomes over activity. We handle sensitive healthcare data under strict controls; privacy, security, and responsible use of AI are engineering requirements here, not afterthoughts.
Pay Range: $185,725-$264,500 USD
Final offer amounts are determined by multiple factors including, but not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
As an employee of Wheel, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:
Medical, Dental and Vision
Ancillary: Life, Short and Long Term Disability
401K match
Flexible PTO
Parental Leave
Stock options
Additional programs and perks
Wheel is committed to equal employment opportunities for all team members. Every decision we make regarding employment is solely based on merit, competence, and performance. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Research shows that underrepresented groups typically apply only if they meet 100% of the criteria listed. At Wheel, we encourage women, people of color, and LGBTQ+ job seekers to apply for positions even if they don’t check every box for the role.
Principal engineer leads architectural design and technical execution for Toast's Team Suite products, mentoring developers and driving modern patterns including agentic workflows across payroll and team management systems.
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company’s future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.
Your mission is to lead the architectural design, technical execution, and implementation across the foundational domains of Toast’s Team Suite products, Payroll and Team Management. The Payroll product delivers daily value to its users - enabling restaurant owners to pay their staff and pay their taxes, and enabling transparency for wages and tips for restaurant employees. The Team Management suite allows restaurants to hire, manage, and schedule their staff.
As a Principal Engineer, you will serve as a key technical leader in the group, driving modern architectural patterns—including spec-driven development and agentic workflows—to deliver high-impact software.
A day in the life (Responsibilities)
What you’ll need to thrive (Requirements)
AI at Toast
At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-REMOTE
The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.
Zone A
$230,000—$368,000 USD
Zone B
$200,000—$320,000 USD
Zone C
$180,000—$288,000 USD
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Our Approach to Hybrid Working
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region:Â https://careers.toasttab.com/locations-toast
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
---—
For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Staff-level engineer who designs and leads AI-native system architecture, builds production agents, and sets technical direction for agentic systems in healthcare infrastructure.
Location: Remote (US)
Virtual care only works if the infrastructure behind it does. Wheel builds that infrastructure — the systems that let telehealth run at scale for the patients, clinicians, and companies depending on it. We’re not bolting AI onto old workflows; we’re rebuilding them from the ground up. Our mission to put great healthcare in everyone’s reach means replacing manual, ad-hoc processes with intelligent, agent-powered systems that carry real operational load. We’re innovating in a live, regulated healthcare environment where getting it right matters. This is the next architecture of virtual care, and we’re building it now.
A staff-level engineer who sets technical direction for agentic systems and then leads the work to ship them. You’ve built and operated agents in production, you know where they break, and you have opinions — held loosely, argued well — about how to build them so they hold up in a regulated environment.
You operate with the scope of a domain owner, not a task owner. You take a problem that isn’t yet well-formed, define it, sequence it, and lead a group of engineers to a shipped and measured outcome. Your impact shows up in other people’s work as much as your own: the patterns they reuse, the design decisions they don’t have to relitigate, the ambiguity you removed before it cost the team a quarter.
You treat AI two ways at once — as a product capability you build with judgment, and as a development multiplier you use fluently — and you’re the person who raises the org’s bar on both.
Own the technical direction for a significant AI-native domain: agent architecture, platform abstractions, or evaluation and guardrail infrastructure.
Act as tech lead for a squad or a cross-team initiative — decomposing ambiguous problems, sequencing delivery, identifying and clearing blockers, and keeping the team pointed at the outcome rather than the ticket.
Write and review design docs; make and document the load-bearing architectural calls, including the ones where the answer is “not yet” or “buy, don’t build.”
Establish clear technical ownership where it’s currently diffuse, so decisions have a named owner and reviews don’t stall.
Design and build production AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Set the standards for what “production-ready agent” means here — testability, rollback safety, cost ceilings, failure modes, human-in-the-loop boundaries — and hold the bar in review.
Take on the hardest parts of the build yourself. This is a hands-on role; you are expected to be in the code.
Build and extend the abstraction layers that let teams integrate AI capabilities cleanly and safely across our services.
Define the shared libraries, patterns, and guardrails other teams build on, and drive their adoption — a pattern nobody uses isn’t a pattern.
Treat responsible use of AI on sensitive data as a hard engineering requirement, and translate privacy, security, and compliance constraints into concrete architecture rather than deferring them.
Own full-stack delivery in TypeScript/Node.js and Python: service and API layers, data-processing jobs, and the internal interfaces on top of them.
Leverage modern cloud infrastructure, event-driven patterns, CI/CD, and observability to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting in production, including on-call, and improve the operational posture of what you inherit.
Partner directly with product, operations, clinical operations, and business leaders as both technologist and trusted advisor — helping define which use cases are worth building and which aren’t.
Lead design sessions, proofs of concept, and build-with sessions alongside the people who’ll use the workflows, building trust and adoption as you go.
Communicate trade-offs, risks, and recommendations clearly to technical and non-technical audiences, up to and including the executive team.
Influence roadmap and prioritization with a clear-eyed read of technical risk, sequencing, and cost.
Own the evaluation strategy for your domain: define the metrics, test harnesses, and evaluation plans that measure agent accuracy, latency, safety, and cost-effectiveness.
Instrument the systems so their behavior is legible after the fact, not just at demo time.
Iterate rapidly on data, feedback, and changing requirements — and kill approaches that aren’t working, early and visibly.
Mentor and grow engineers through code review, design review, pairing, and direct feedback; make the people around you measurably better.
Craft reusable patterns, documentation, and best practices that raise the engineering bar beyond your own team.
Anchor our internal community of practice around AI-native and agentic engineering.
First 90 days: you have a working map of our AI platform surface area, have shipped something real, and have a point of view on where the leverage is.
First 6 months: you own a domain outright, are leading a team’s technical direction within it, and there’s an evaluation story for the agents you’ve shipped.
First year: patterns you established are in use by teams you don’t sit on, and engineers point to you as the reason their work got better.
8+ years building and operating production software, with meaningful full-stack depth across a TypeScript/Node.js backend and at least one other language (Python strongly preferred).
A track record of technical leadership as an individual contributor: owning a domain, leading multi-engineer efforts to completion, and driving decisions across team boundaries without positional authority.
Hands-on experience designing and deploying agentic systems in production — retrieval, orchestration, tool/function calling, and evaluation — with a clear-eyed view of where LLMs and agents work and where they don’t.
Demonstrated ability to take a loosely defined problem and drive it to a shipped, measured, agent-powered workflow.
A working practice of using AI development tools as a force multiplier, with judgment about when to trust, verify, or override them.
Strong cloud-native engineering fundamentals; comfort with CI/CD, observability, and running what you build.
Fluency with relational data and SQL.
Clear written and verbal communication, including the ability to write a design doc that changes minds. This is a remote, cross-functional role.
Comfort with ambiguity and a bias toward shipping measurable results.
Experience with agent frameworks and multi-agent architectures at production scale.
Model evaluation and guardrail infrastructure — measuring output quality, catching regressions, keeping agents inside safe bounds.
Experience building platform capabilities consumed by other engineering teams.
Background in workflow automation, forecasting-driven products, or supply-demand matching.
Prior work in a regulated environment (healthcare/HIPAA, fintech, etc.) and an instinct for the constraints that come with using AI on sensitive data.
Experience mentoring engineers or acting as a formal tech lead.
Remote-first (US), fast-moving, tight loops between engineering, product, and the business. We’re an AI-forward engineering org — we expect AI in the toolchain and in the product, and we measure outcomes over activity. We handle sensitive healthcare data under strict controls; privacy, security, and responsible use of AI are engineering requirements here, not afterthoughts.
Pay Range: $185,725-$264,500 USD
Final offer amounts are determined by multiple factors including, but not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
As an employee of Wheel, you’ll enjoy our Total Rewards Program to help secure your financial future and preserve your health and well-being, including:
Medical, Dental and Vision
Ancillary: Life, Short and Long Term Disability
401K match
Flexible PTO
Parental Leave
Stock options
Additional programs and perks
Wheel is committed to equal employment opportunities for all team members. Every decision we make regarding employment is solely based on merit, competence, and performance. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Research shows that underrepresented groups typically apply only if they meet 100% of the criteria listed. At Wheel, we encourage women, people of color, and LGBTQ+ job seekers to apply for positions even if they don’t check every box for the role.
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