Sr. Software Development Engineer, Workshop Studio

Amazon.com, Inc.
New York, NY, United States
3 months ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$184,900.0 - $250,200.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Code Review Computer Programming Continuous Integration Data Stores Software Design Patterns Amazon DynamoDB Python (Programming Language) Machine Learning Software Engineering
+17 more
Web Applications Software Repository ReactJS Large Language Models Multi-Agent Systems AWS Lambda Backend Information Technology Build Process Front End Software Development Virtual Agents Api Design Software Coding Software Version Control Web Api Golang Programming Languages

Job description

Workshop Studio (WS) is an AWS platform that powers hands-on technical learning and product experiences for hundreds of thousands of current and potential AWS customers. WS is transitioning to an AI-native architecture with agentic systems that will discover content, guide participants in real time, automate workshop quality review and generate post-event intelligence., Agentic AI Systems: Build AI-powered capabilities on Amazon Bedrock AgentCore such as content discovery, adaptive participant guidance, automated session summaries with lead scoring, agent-assisted authoring and simulated participant playthroughs for content validation.

Multi-Tenant Platform & Integration APIs: Design multi-tenant workshop management with per-partner isolation, access controls, and lifecycle tooling. Build integration APIs that let high traffic AWS websites provide sandbox environments on demand.

Authentication & Authorization: Evolve the authentication and authorization architecture across multiple identity providers to support partner authentication, scoped permissions for external users, and cross-tenant content sharing.

Technical Leadership & Operational Excellence: Lead design reviews, mentor a team of backend plus frontend engineers and produce architectural documents that shape multi-year decisions. Own production health through on-call rotations, incident response, retrospective reviews and runbook maintenance.

A day in the life

On any given day, you might lead a cross-team API design review with the product manager, engineering manager, UX designer and engineers from partner AWS teams. You pair with engineers on database access patterns for the multi-tenant content store. You prototype an AI feature that generates post-event session summaries from platform telemetry. You sync with the program manager on cross-team dependencies and align with the engineering manager on sprint priorities. The work spans platform architecture, agentic AI development, mentorship, and cross-functional collaboration., The Workshop Studio team owns one of the largest fleet of AWS accounts in the world. We own React web apps, CDK infrastructure, Go and Python Lambdas, Step Functions workflows, DynamoDB data stores, git repositories for workshop artifacts and an analytics layer built on Redshift. The team includes an engineering manager, product manager, several backend engineers and a front-end engineer, with shared access to a UX designer, technical program managers, business intelligence engineer and senior engineers including a principal engineer.

Requirements

Experience as a mentor, tech lead or leading an engineering team

  • 6+ 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

Preferred Qualifications

  • 5+ 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

  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Benefits & conditions

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.

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 (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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, there’s nothing we can’t achieve in the cloud., 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, NJ, Jersey City - 184,900.00 - 250,200.00 USD annually

USA, NY, New York - 184,900.00 - 250,200.00 USD annually

USA, TX, Austin - 168,100.00 - 227,400.00 USD annually

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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