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Amazon's AWS Applied AI Solutions seeks a Software Development Engineer II to design, implement, test, deploy, and operate features end-to-end in production. You will build new services for policy enforcement, session recording and replay, and human-in-the-loop workflows, and collaborate with cross-team engineers to align interfaces and ship on schedule.
Ideal candidates have 3+ years of professional software development, strong OO design, and proficiency in C#, C++, Java, or Perl, with a
Job ID: 10532801 | Amazon.com Services LLC
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. AI agents are no longer chatbots waiting for prompts. They're digital workers — processing claims, reconciling invoices, securing infrastructure. And they need the same things every employee needs: identity, permissions, governance, and a trusted place to operate. Our team builds the platform which enables enterprise agents to safely execute autonomous work in governed environments.
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.
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 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.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.