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Description

AWS Global 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.

Are you interested in helping build the next generation of digital products with the largest and most innovative companies in Australia and New Zealand? Come join Amazon Web Services (AWS) Professional Services as a Software Engineer specializing in software engineering and application development. 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 with the autonomy to design innovative solutions that directly impact customers. At AWS, you're not just an engineer, you're a curious generalist empowered to learn, grow, and make a meaningful difference in how technology can solve complex business problems.

We are seeking a hands-on Sr. 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 product engineering capabilities, possessing both the software development background to work with complex architectures and code, and the curiosity to invent on behalf of our customers and leverage AWS services particularly in AI and ML. Imagine bold possibilities and work with our customers and partners to find innovative new ways to satisfy business needs through Data & AI services . 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

• 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 AI/ML, Agentic AI, software development, CI/CD pipelines, DevOps practices while collaborating with customers to understand requirements and create technical solutions

• Delivery - Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments. This includes developing new applications, modernizing existing ones, and innovating on behalf of customers.

• Technical Leadership - Guide customer and partner teams in software engineering practices, code reviews, architectural decisions, and implementation of AWS services while ensuring solution quality and security best practices

• 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 services

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.

Basic Qualifications

• 5+ years of cloud architecture and solution implementation experience

• 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)

• 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

Preferred Qualifications

• 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

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.