TL;DR

Delivery Consultant: Software Engineer (.Net, AWS, AI/ML): Designing and developing cloud-native solutions using AWS services, focusing on hands-on software development, architecture design, and implementation of modern development methodologies. Focus on building distributed computing solutions, leveraging AI/ML services, and guiding customer teams in engineering practices.

Location: Must be based in Australia (Perth, Sydney, or Melbourne)

Company

%hirify_global% Web Services (AWS) is the world’s most comprehensive cloud platform, pioneering cloud computing and serving Global 500 companies.

What you will do

Design and develop cloud-native solutions using AWS services, including hands-on software development and architecture design.
Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices.
Build and implement distributed computing solutions using AWS services, developing new applications and modernizing existing ones.
Guide customer and partner teams in software engineering practices, code reviews, and architectural decisions.
Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications and agent architectures.

Requirements

5+ years of experience in software development life cycle (SDLC) and agile/iterative methodologies building fullstack applications.
5+ years of hands-on development experience with .NET and other modern programming languages (e.g., TypeScript, JavaScript, Java, Kotlin, Python).
5+ years designing/implementing cloud-native solutions on AWS.
Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines, and DevOps practices.
Experience with distributed systems, microservices architecture, and event-driven patterns.

Nice to have

Strong background in designing and implementing .NET applications and API design (e.g., REST, GraphQL, gRPC).
Knowledge of vector databases, retrieval-augmented generation (RAG), embedding pipelines, and AI agent architectures.
Hands-on experience with containerization and orchestration technologies (e.g., Docker, %hirify_global% ECS, Kubernetes) and modern development practices.
Strong proficiency in observability and monitoring tools (e.g., OpenTelemetry, Datadog, Splunk, New Relic, Prometheus, Grafana).

Culture & Benefits

Emphasis on work-life harmony and flexibility as part of the working culture.
Inclusive team culture with employee-led and company-sponsored affinity groups.
Endless knowledge-sharing, mentorship, and career-advancing resources.
Opportunity to join a diverse team of technical experts in dozens of countries.