Delivery Consultant: Software Engineer (AI)

TL;DR

Delivery Consultant: Software Engineer (AI): Designing and developing cloud-native solutions using AWS services with an accent on software development, architecture design, and implementation of best practices in modern development methodologies. Focus on building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS services.

Location: Melbourne, Australia

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

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, and infrastructure as code.
• Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments.
• Guide customer and partner teams in software engineering practices and architectural decisions.
• Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications and implementing Agent architectures.

Requirements

• 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)
• 5+ years designing/implementing cloud-native solutions on AWS
• 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

Nice to have

• Strong background in API design and implementation (e.g. REST, GraphQL, gRPC).
• 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.
• 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) with focus on operational excellence

Culture & Benefits

• Employee-led affinity groups foster a culture of inclusion.
• Ongoing events and learning experiences inspire to never stop embracing uniqueness.
• Endless knowledge-sharing, mentorship and other career-advancing resources.
• Flexibility as part of working culture.