Delivery Consultant, AWS Professional Services

AWS Professional Services is seeking a Senior Consultant to deliver complex technical consulting engagements, focusing on full-stack development and GenAI applications. The role involves designing and building cloud-native applications, working with customers to architect solutions, and leveraging AI-assisted development tools.

• Full-Stack Development — Design, build, and ship cloud-native applications end-to-end. Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java), deploying on AWS with infrastructure as code and CI/CD pipelines.
• AI-Assisted Software Development — Use AI-powered development tools as part of your daily workflow. Champion agentic software development methodologies — leveraging AI to accelerate coding, testing, code review, and delivery.
• Agentic Development — Design and implement AI agent architectures and multi-agent systems. Work with emerging protocols (e.g., MCP, A2A) and orchestration frameworks to build autonomous and semi-autonomous AI workflows that solve real customer problems.
• Solution Delivery — Work directly with customers to understand requirements, architect solutions, and deliver working software. Build distributed systems, modernize existing applications, and implement best practices across cloud environments.
• Technical Leadership — Guide customer and partner teams on software engineering best practices, software architecture decisions, and code quality. Conduct code reviews, mentor developers, and ensure solutions meet security and operational excellence standards.

• 5+ years of software development experience designing and building full-stack applications, with hands-on work across frontend (e.g., React, Next.js, Angular, Vue) and backend (e.g., APIs, microservices, data layers)
• 5+ years of hands-on development with modern programming languages (e.g., TypeScript, JavaScript, Python, Java, Kotlin, .NET)
• 5+ years of cloud architecture and solution implementation experience on AWS or comparable cloud platforms
• Experience using AI-assisted development tools as part of the software development workflow
• Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines and DevOps practices
• Preferred: Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems
• Preferred: Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding, testing, debugging, and code review
• Preferred: Background in API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0)
• Preferred: Hands-on experience with containerization and orchestration (e.g., Docker, Amazon ECS, Kubernetes)
• Preferred: Experience with distributed systems, event-driven architectures, and microservices patterns at scale
• Preferred: Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog) with a focus on operational excellence
• Preferred: Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows, LLM-powered features)

• Diverse Experiences: AWS values diverse experiences and encourages candidates from non-traditional paths to apply.
• Inclusive Team Culture: Employee-led affinity groups, inclusion events, and a culture that values curiosity and connection.
• Mentorship & Career Growth: Endless knowledge-sharing, mentorship, and career-advancing resources.
• Work/Life Balance: Flexibility and work-life harmony, supported in the workplace and at home.