You will be joining a team of engineers responsible for building and operating the cloud infrastructure and integrations that power Amazon Leo's enterprise applications, including SAP S/4HANA and AI-driven workflows on AWS. Our work directly supports the mission of delivering global broadband access through a constellation of 3,236 satellites. We value curiosity, ownership, and collaboration; our engineers regularly contribute to architecture decisions, mentor peers, and explore emerging AWS services like Bedrock and SageMaker.
You'll have the opportunity to work across distributed systems, security, and machine learning in a supportive, growth-oriented environment.
- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
- Experience with AWS core services (EC2, Lambda, S3, IAM, CloudFormation, or CDK)
- Experience with load balancing technologies (ALB/NLB a plus)
- Experience with authentication protocols (SAML 2.0, OAuth 2.0, OIDC) and certificate management
- Experience with AI/ML agent frameworks, LLM-based application development, or conversational AI platforms
- Experience with distributed systems at scale
- 8+ years of experience in systems development or cloud infrastructure engineering
- Deep expertise with AWS infrastructure services (VPC, EC2, Lambda, CDK/Terraform, CloudFormation)
- Strong background in authentication and identity management (IAM, SSO, SAML 2.0, OAuth 2.0, OpenID Connect)
- Experience with certificate management at scale using AWS Certificate Manager, Private CA, and TLS/mTLS automation
- Hands-on experience with SAP on AWS (S/4HANA, BTP, Ariba) and SAP integration patterns (RFC, IDoc, OData)
- Experience applying AWS AI/ML services (Bedrock, SageMaker, Textract) to enterprise workflows
- Experience with Amazon Bedrock (AgentCore, Knowledge Bases, Guardrails) or similar agentic AI platforms
- Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A) orchestration, or similar tool/agent interoperability patterns
- Experience with AI safety practices including prompt engineering, grounding validation, human-in-the-loop write gates, and PII handling in AI contexts
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.
USA, WA, Bellevue – 151,200.00 - 204,600.00 USD annually
