Sr. Software Development Engineer, Products and Solutions

Were looking for a Senior Software Development Engineer who wants to build AI-powered products that change how enterprises move to the cloud and who thrives as the technical anchor of an AWS 2-pizza team.

Youll own the architecture and delivery of production systems that power how AWS Professional Services delivers enterprise cloud migrations and modernization at scale. 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 (Amazons agentic AI service for enterprise modernization). Youll be building real software used daily by thousands of practitioners serving Fortune 500 customers.

This is a hands-on builder role with leadership expectations. Youll write code design systems lead projects across multiple engineers mentor teammates and own operational excellence for your services all within a product engineering org that ships 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 AWSs 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
- Youll build not consult were 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 every team is working on some aspect of agentic AI: building agents orchestrating them evaluating their outputs or making them extensible. Youll be at the frontier of applied AI engineering.
- Small team big impact as an AWS 2-pizza team youll have direct ownership of significant components. Your architecture decisions directly impact 5000 consultants across 60 countries delivering $1B in active delivery pipeline.
- Full-stack ownership from React frontends to CDK infrastructure to AI agent logic. No artificial boundaries between frontend and backend engineers.
- Career growth we invest in developing senior engineers toward Principal levels. Youll work alongside senior architects and receive direct mentorship on expanding your technical influence beyond a single team.
- Direct customer engagement youll occasionally engage directly on customer migrations seeing your tools in action and bringing insights back to improve the platform.


Key job responsibilities
- Own team-level architecture design systems that are simple extensible and operationally sound
- Influence design and technical decisions beyond your immediate team contributing to org-wide architectural direction and engineering standards
- Lead projects spanning multiple engineers; make sound technical decisions and drive execution from design through production deployment
- Design and build agentic AI components whether thats agent logic orchestration workflows evaluation pipelines or integration APIs
- Write production code daily you should spend the majority of your time building not meeting
- Set engineering standards on your team: code quality testing practices CI/CD pipelines observability and incident response
- Solve complex distributed systems problems where trade-offs between latency consistency extensibility and cost arent obvious
- Proactively identify and resolve technical debt; simplify systems rather than layering complexity
- Mentor and grow engineers on your team; help junior and mid-level engineers level up through code reviews design guidance and career coaching
- Communicate technical designs clearly in writing design docs RFCs and architecture decision records
- Drive operational excellence: meaningful alarms runbooks dashboards and a culture of learning from incidents
- Travel 5% 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. Were 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). Were building on the latest agentic AI capabilities expect to work with LLMs multi-agent frameworks and tool-use patterns daily.


About the team
We ship frequently debate architecture in design docs (not committees) and believe great engineers stay close to the code. Were building something new and moving fast if you want greenfield problems with real constraints this is it.


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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Bachelors degree in computer science or equivalent

- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience building complex software systems that have been successfully delivered to customers

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 for more information. If the country/region youre applying in isnt 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 NY New York - 184900.00 - 250200.00 USD annually