Delivery Consultant - Agentic AI Full Stack Developer, AWS Professional Services

Role overview

Key responsibilities

• Design, build, and ship cloud-native applications end-to-end.
• Develop responsive frontend interfaces and scalable backend services, then deploy them on AWS using Infrastructure as Code and CI/CD.
• Use AI-powered development tools to accelerate coding, testing, code review, and delivery.
• Design AI agent architectures, multi-agent systems, and autonomous or semi-autonomous workflows.
• Work directly with customers to understand requirements, architect solutions, and deliver working software.
• Build distributed systems, modernise existing applications, and implement cloud best practices.
• Guide customer and partner teams on engineering practices, architecture, and code quality.
• Conduct code reviews, mentor developers, and uphold security and operational excellence standards.

Basic qualifications

• Knowledge of core AWS services including EC2, ELB, RDS, VPC, Route 53, and S3.
• 5+ years of AWS or comparable cloud architecture and solution implementation experience in distributed computing environments.
• 5+ years of hands-on modern programming experience, such as TypeScript, JavaScript, Python, Java, Kotlin, or .NET.
• Experience with Infrastructure as Code, CI/CD pipelines, and DevOps practices.
• Experience using AI-assisted development tools as part of the software development workflow.
• Experience implementing AWS services across varied distributed computing environments.

Preferred qualifications

• Cloud computing technology design and implementation expertise.
• Experience designing, developing, and deploying business software at scale or hands-on infrastructure experience.
• Understanding of AI agent architectures, orchestration patterns, MCP or A2A, and multi-agent generative AI applications.
• Experience using AI agents to accelerate coding, testing, debugging, and code review workflows.
• Understanding of REST, GraphQL, or gRPC APIs and OpenID Connect or OAuth 2.0.
• Experience with Docker, Amazon ECS, Kubernetes, distributed systems, event-driven architectures, and microservices at scale.
• Familiarity with observability and monitoring tools such as OpenTelemetry, CloudWatch, or Datadog.