Senior Software Engineer, Security Services and Observability, Amazon Web Services

Amazon.com, Inc.
Seattle, WA, United States
30 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$168,100.0 - $227,400.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Programming Data Mining Software Design Patterns Information Retrieval Machine Learning Natural Language Processing Software Engineering Web Services Retrieval-Augmented Generation
+5 more
Multi-Agent Systems Agentic-AI Information Technology Low Latency Programming Languages

Job description

Your impact here will be immediate and visible. You will ship features that directly change how customers run their businesses. The team is small enough that your decisions carry real weight and large enough that you will always have someone to learn from. As a senior engineer, you will set the technical direction for the projects you own and mentor the engineers around you.

AI is not a side experiment on this team. It is a core part of the stack. You will build orchestration layers for multi-agent systems, retrieval pipelines, workflow automation, and decision intelligence, all as everyday engineering primitives. You will integrate foundation models, customer data sources, APIs, and existing applications into cohesive AI experiences, then optimize for latency, reliability, observability, cost, and security.

We operate across security, observability, search, and governance, but you do not need a background in any of them. What you need is curiosity, strong technical judgment, a bias for action, a desire to work on the bleeding edge of technology, and a drive to solve ambiguous problems at scale. This is a team of engineers and scientists who care about craft, customer outcomes, and having fun doing the work. Growth here is by design. We assign projects based on what will stretch you. At the SDE III level, that means owning complex, cross-team technical challenges end-to-end, leading design for systems that enterprise customers depend on, and turning the patterns you discover into reusable accelerators that scale the entire FDE practice. A broad mix of experience levels and a genuine culture of mentorship means you will level up fast.

About the team The Field Innovation team is a Forward Deployed Engineering (FDE) group inside AWS. We work directly with customers and AWS service teams to build next-generation AI systems that help the world’s largest enterprises get faster return on value from security, search, observability, and governance services.

We are hiring senior builders who want to work at the intersection of customer impact and cutting-edge AI. You will embed with customers to understand how they operate, then partner with service teams to design and ship production-grade products powered by large language models, agent frameworks, retrieval-augmented generation, and AI-assisted development tools. From day one your code will be in production, and your architectural decisions will shape how fortune 500 enterprises operate.

Requirements

  • 7+ years of non-internship professional software development experience
  • 7+ years of programming with at least one software programming language experience
  • 7+ 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 leading and influencing your team or organization
  • Experience building complex software systems that have been successfully delivered to customers
  • Experience communicating technical concepts to non-technical audiences, or experience in similar environments, * Bachelor’s degree in computer science or equivalent
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
  • Experience developing, deploying and managing AI products at scale
  • Experience with the AWS platform, web services, software development, or related technologie
  • Experience working in a customer-facing environment
  • Experience with agentic and specification-driven development practices.

Benefits & conditions

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, CA, Irvine - 168,100.00 - 227,400.00 USD annually USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

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