Software Development Engineer, Products and Solutions

About the role

We ship frequently, debate architecture in design docs (not committees), and believe great engineers stay close to

Requirements

• write clean, well-tested, production-quality code daily - primarily in python and typescript/react
• contribute to system design discussions and propose solutions to technical problems within your team's scope
• build and maintain agentic ai components - agent logic, api integrations, orchestration workflows, or evaluation pipelines
• own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations
• proactively identify bugs, performance issues, and technical debt - fix them without being asked
• collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing
• communicate your work clearly in writing - design docs, pull request descriptions, and operational reviews
• learn continuously - stay current on aws services, ai/ml developments, and engineering best practices relevant to your work
• potential travel to customer sites and partner team locations to understand how your tools perform in the field

Additional Information

We're looking for a Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud - and who's ready to grow fast in a small, high-ownership team. You'll design and deliver production features within an AWS 2-pizza team. Our team builds agentic AI solutions - platforms where AI agents and human consultants collaborate as a unified delivery team - reducing migration timelines from years to months and cutting costs dramatically. The work spans the full migration lifecycle: assessment, planning, orchestration, execution, and integration with AWS Transform (Amazon's agentic AI service for enterprise modernization). You'll be building real software used daily by 5,000+ practitioners serving Fortune 500 customers across 60+ countries. This is a hands-on builder role. You'll write code every day, contribute to system design, ship features end-to-end, and take ownership of components within a product engineering org that moves fast and measures success by adoption and customer outcomes. What We Build Our platform is a multi-agent system that orchestrates enterprise cloud migrations end-to-end. Our business spans several domains: - Agentic AI - AI agents that autonomously handle migration tasks (discovery, wave planning, runbook generation, infrastructure provisioning) while coordinating with human consultants - Orchestration and workflow - the coordination layer that enables multiple agents and humans to work in parallel with shared context and minimal overhead - Platform infrastructure - shared services (project datastores, external system connectors, agent lifecycle management) that underpin the PCAM ecosystem - AWS Transform integration - bidirectional data and workflow connectivity with AWS's flagship enterprise modernization service - Extensibility - frameworks that enable ProServe teams to build and deploy custom agents for specialized customer needs All of it involves building agentic AI systems at production scale with real users and real constraints. Why This Team - You'll build, not consult - we're a product engineering org inside Professional Services. We own our roadmap, ship on our cadence, and maintain our services. This is not billable-hours consulting. - AI-native problems from day one - you won't be adding AI to a legacy system. Every team is building agentic AI: designing agents, orchestrating them, evaluating their outputs, or making them extensible. You'll work at the frontier of applied AI engineering early in your career. - Small team, real ownership - as an AWS 2-pizza team, there's nowhere to hide and no shortage of interesting work. You'll own meaningful components, not just tickets. - Full-stack exposure - React frontends, Python services, AWS CDK infrastructure, AI agent logic. You'll touch it all. - Accelerated growth - we invest in developing engineers toward senior levels. You'll work alongside senior and principal engineers who will challenge you and help you expand your technical scope. - Direct customer impact - you'll occasionally see your tools in action on real customer engagements, connecting the code you write to tangible business outcomes. Key job responsibilities - Design and deliver production features end-to-end: from requirements through implementation, testing, deployment, and operations - Write clean, well-tested, production-quality code daily - primarily in Python and TypeScript/React - Contribute to system design discussions and propose solutions to technical problems within your team's scope - Build and maintain agentic AI components - agent logic, API integrations, orchestration workflows, or evaluation pipelines - Own operational health of your services: write alarms, build dashboards, maintain runbooks, participate in on-call rotations - Proactively identify bugs, performance issues, and technical debt - fix them without being asked - Collaborate effectively with teammates through code reviews, design discussions, and knowledge sharing - Communicate your work clearly in writing - design docs, pull request descriptions, and operational reviews - Learn continuously - stay current on AWS services, AI/ML developments, and engineering best practices relevant to your work - Potential Travel to customer sites and partner team locations to understand how your tools perform in the field A day in the life Our Migration & Modernization Engineering group builds the agentic AI products that help AWS Professional Services deliver cloud migrations at scale. We're a product engineering team - not a consulting delivery org. Tech stack: Python, AWS CDK, React, with heavy use of AWS services (Bedrock, Step Functions, Lambda, DynamoDB, API Gateway, and others). We're building on the latest agentic AI capabilities - expect to work with LLMs, multi-agent frameworks, and tool-use patterns regularly.

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