Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
On Agentic WorkSpaces, our vision is to enable AI agents to work the way humans do — with access to real applications, real interfaces, and real computing environments. For enterprises to trust autonomous agents with their essential business applications, they need a full suite of governance capabilities: an identity for every agent, human-in-the-loop controls to audit and approve what agents do, and the ability for a human intervene in an agent's session when required. Our team is building these systems end to end. Upcoming launches will give every agent a verifiable identity, record every desktop action as a reviewable visual audit trail, enforce policy on every tool call before it executes, pause agents for human approval on sensitive actions, and let a human take control of an agent's session mid-task before handing it back to the agent, which resumes with full context of what changed. Identity and agentic governance present hard problems in our industry today, and we're excited to on the forefront of solving them.
We're looking for an SDE II who can ramp quickly deliver features end-to-end and thrive in greenfield work. Much of what we're building doesn't exist yet. You'll take early designs to production make pragmatic calls about what to build versus what to compose from existing AWS services and ship on a schedule tied to real customer milestones. The pace is high with re:Invent deliverables targeted for this year and an ambitious 2027 roadmap. If you like owning features from design through production and want your work to be the reason enterprises trust AI agents this team is for you.
Own features end-to-end: design implement test deploy and operate in production
Build new services for policy enforcement, session recording and replay, human-in-the-loop approval workflows, and human takeover of agent sessions
Integrate with AWS services and make build-vs-compose decisions with your team
Handle customer content with care: recording pipelines retention and access controls where correctness is the product
Collaborate with engineers on adjacent teams to unblock dependencies and align on interfaces
Contribute to operational excellence: oncall runbooks alarms and incident response
A day in the life
Your mornings are usually free for focus work - writing code reviewing CRs and working through whatever problem you've picked up. Around 11 you'll have standup then grab lunch with the team (if you like) before the afternoon opens up for integration work cross-team syncs or design reviews. Our pipelines are full CD our ticket queue is small and when something pages us we fix the root cause - not just the symptom. We encourage responsible AI usage across our development workflow - it's one way our team moves fast. The problems are interesting and the pace is high but we believe we can move fast do exceptional work and have a full life outside of it.
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.
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
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
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