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Delivery Consultant: Full Stack Engineer, AWS Professional Services

Amazon Web Services Australia Pty Ltd -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Authentication
Data modelling
Management
Cloud architecture
Systems design
NoSQL
Microservices
AWS
PostgreSQL
REST
Software development
APIs
DynamoDB
AI
gRPC

Full Job Description

DESCRIPTION

Are you a full-stack engineer who enjoys learning and solving challenging problems? Would you like to do this using the latest cloud computing, GenAI, and agentic technologies? We are seeking a hands-on Delivery Consultant with software engineering and cloud architecture expertise to deliver consulting engagements within AWS Professional Services.

This is an exciting opportunity to work across diverse technologies, from modern frontends to cloud-native backends, with the autonomy to design innovative solutions that directly impact customers.

The AWS Professional Services organization is a global team of experts that helps customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption.

Key job responsibilities

Solution Delivery: Work directly with customers to understand requirements, architect solutions, and deliver working software. Build distributed systems, modernise existing applications, and implement best practices across cloud environments.
Full Stack Development: Design, build, and ship cloud-native applications end-to-end. Develop responsive frontend interfaces (e.g., React, Vue) and scalable backend services (e.g., Python, .NET, PostgreSQL), deploying on AWS with infrastructure as code and CI/CD pipelines.
Agentic Engineering: Use AI-powered development tools as part of your daily workflow. Champion agentic software development methodologies and leverage AI to accelerate coding, testing, code review, and delivery.

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

3+ years of customer-facing consulting experience designing and implementing software solutions
3+ years of strong hands-on experience in at least one programming language such as Python, TypeScript or .NET, with strong foundations in system design
Experience with AWS technologies, including designing, deploying, and operating cloud-native solutions

PREFERRED QUALIFICATIONS

Experience with application modernisation patterns and strategies, including refactoring and re-platforming techniques
Experience in API design and implementation (e.g. REST, GraphQL, gRPC), including authentication and authorisation using identity protocols such as OAuth
Experience with one or more modern relational or NoSQL databases (e.g. PostgreSQL, DynamoDB), including data modelling and query optimisation
Experience with one or more modern front-end frameworks (e.g. React, Vue, Angular), including component-based architecture and state management
Experience with distributed systems, event-driven architectures, and microservices patterns at scale
Experience with agentic software development methodologies, using AI agents to accelerate development workflows, including coding, testing, debugging, and code review

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.

Apply Now

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software engineer (ai, python, aws) jobs

Delivery Consultant: Full Stack Engineer, AWS Professional Services

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Senior Software Engineer, Site Reliability

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Senior DevOps Engineer - Azure

Lead Site Reliability Engineer

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