Amazon Delivery Consultant Software Engineer .Net 

Australia, New South Wales, Sydney 

208712827

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 lifeWhy AWS
Work/Life HarmonyMentorship and 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.

- 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 .NET and other modern programming languages (e.g. TypeScript, JavaScript, Java, Kotlin, Python)
- 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 designing and implementing .NET applications
- 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