Are you a software engineer who gets excited about building end-to-end applications powered by Generative AI? Are you interested in helping the largest and most innovative companies in Australia and New Zealand build their next generation of digital products? Come join Amazon Web Services (AWS) Professional Services as a GenAI Full Stack Software Development Engineer. AWS Professional Services helps millions of businesses in 150+ countries transform their operations and applications using the power of AWS. This is an exciting opportunity to work across diverse technologies — from modern frontends to cloud-native backends to state of the art AI services — with the autonomy to design innovative solutions that directly impact customers.
We are seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven engineering capabilities, having both the software development background to work with complex architectures and code, and the curiosity to invent on behalf of our customers using AWS services. You develop using agentic tools and services - AI-powered coding assistants, agentic IDEs, and AI-driven development workflows are part of how you build every day. You understand how to design and orchestrate AI agents, work with protocols like MCP and A2A, and build autonomous systems using services like Amazon Bedrock. You'll work directly with customers to deliver innovative AWS solutions, applying your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
Key job responsibilities
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.
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
Diverse Experiences
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.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
- 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
- Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems
- Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding, testing, debugging, and code review
- Understanding of background in API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0)
- Hands-on experience with containerization and orchestration (e.g., Docker, Amazon ECS, Kubernetes)
- Experience with distributed systems, event-driven architectures, and microservices patterns at scale
- Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog) with a focus on operational excellence
- Experience building applications that integrate generative AI or large language model capabilities (e.g., RAG, chat interfaces, agent workflows, LLM-powered features)
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
