Amazon Software Dev Engineer Alexa Mobile Assistant 

United States, Washington, Seattle 

909236684

Key job responsibilities
- Expertise - Design and develop cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies
- Solutions - Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices while collaborating with customers to understand requirements and create technical solutions
- Innovation - Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS servicesA day in the life
About the team
AWS 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’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

- 5+ years experience of software development life cycle (SDLC) and agile/iterative methodologies building full stack applications.
- 5+ years of hands-on development experience with modern programming languages (e.g. TypeScript, JavaScript, Java, Kotlin, Python, .NET)
- 5+ years designing/implementing cloud-native solutions on AWS
- Experience with Infrastructure as Code (e.g. AWS CDK, CloudFormation, Terraform), CI/CD pipelines (AWS CodeBuild, GitHub Actions), and Dev-ops practices
- Experience with distributed systems, micro-services architecture, and event-driven patterns with proven experience implementing large-scale solutions

- Strong background in API design and implementation (e.g. REST, GraphQL, gRPC). Experience working with Identity protocols such as (e.g. OpenID Connect, OAuth 2.0 )
- Knowledge of vector databases, retrieval-augmented generation, embedding pipelines
- Understanding of AI agent architectures, development patterns, protocols (e.g. MCP, A2A) and multi-agent systems. Expertise in RAG patterns, vector databases, and prompt engineering
- Hands-on experience with containerization and orchestration technologies (e.g. Docker, Amazon ECS, Kubernetes) and modern development practices
- Strong proficiency in observability and monitoring tools (e.g. OpenTelemetry, Datadog, Splunk, New Relic, Prometheus, Grafana) with focus on operational excellence