DESCRIPTION

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. 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 to see what agents did, control what agents can do, and prove both to auditors. Our team builds the systems that make this possible. We record every agent 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 package the evidence for compliance frameworks. 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 and the roadmap is concrete, with re:

Invent deliverables targeted for this year. The team is small enough that your work goes to production fast and visibly. 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. Key job responsibilities Own features end-to-end: design, implement, test, deploy, and operate in production Build new services for policy enforcement, session recording and replay, and human-in-the-loop approval workflows 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. The team is small, so you'll know what everyone is working on, and when something breaks, the whole team rallies. 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 small 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. We're a small team building two greenfield projects within Agentic WorkSpaces. We're moving fast enough that our team name is still taking shape — but our engineering culture is well established. About the team

ABOUT AWS

Diverse Experiences 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. Why AWS 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. Work/Life Balance 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. Inclusive Team Culture 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. Mentorship and Career Growth 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. 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Software Dev Engineer II, AWS Applied AI Solutions