Software Development Engineer, Agentic Workspaces
Amazon is hiring a Software Development Engineer, Agentic Workspaces in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Linux, AWS and AI agents among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Design and build on-instance software and agents for AI-powered agentic workspaces at AWS.
Amazon WorkSpaces has protected and empowered enterprise work for over a decade and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans — agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it.
Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating-system provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible — operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use — delivered from commercial regions to classified partitions with automation as the default, so quality and breadth improve release over release.
Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired.
You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily.
We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and increasingly for the AI agents that work beside them across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development and work closely with senior technical leaders within the team and across AWS.
You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security.
You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like — a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice — and then you build the systems to get there.
Key job responsibilities
• Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users.
• Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams — earning trust by driving technical discussions that result in impactful architectural decisions.
• Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major identity join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on.
• Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants with self-service diagnostics and autonomous issue resolution before customers are impacted.
• Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment — eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management.
• Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop.
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer, Agentic Workspaces at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $144k
- Typical software engineer job
- $167k
This posting starts 14% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where operating systems was part of your work. What did you do?
- Tell me about a project where desktop platform engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Operating Systems, Desktop Platform Engineering, Distributed Systems, and Linux. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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