In-Demand Java full stack Jobs

AI Engineer
Publicis Groupe Holdings B.V —Southbank VIC
- Computer science
- Writing skills
- AI
Quick Apply
2d
Engineering Manager - Private Dining
OpenTable —Melbourne VIC
- Databases
- AI
- Annual leave
- Parental leave
Quick Apply
11d
DevOps Lead
EzyCollect —Sydney NSW
- $97,000 - $178,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Work from home
- Parental leave
Quick Apply
DevOps Lead
ezyCollect by Sidetrade —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Parental leave
- Referral program
Quick Apply
Software Engineering Graduate Program
FDM Group —Australia
- Computer Science
- SQL
- Bachelor's degree

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Role Purpose

Understand Clients’ business problems and engage in Client servicing to manage peer-level Client relationships
Develop an accurate and realistic design plan along with risk mitigation solutions for the project
Liaison with Information Architects, Designers & Business Analysts to finalize the usability and feasibility of interface designs
Effectively communicate responsibilities to the track leads and mentor a collaborative team to deliver Client expectations

What you will bring

10+ years of software engineering experience with a background in Computer Science (or equivalent) and a deep mastery of core fundamentals that drive scalable, testable architecture which is now applied to designing and shipping AI-powered products for customers.
Hands-on experience across the full software development lifecycle (SDLC), spanning both backend and frontend technologies with focus on Python, Java, React or similar frameworks, paired with fluent use of AI-assisted development tools (e.g. GitHub Copilot, Cursor, Claude Code) to accelerate delivery
Experience writing unit, integration, and end-to-end tests across the full stack.
A demonstrated track record of leveraging AI to fast-track outcomes for customers — compressing discovery-to-delivery timelines, automating repetitive engineering work, and lifting code quality and throughput.
Proven understanding of how AI agents are built – agent framework, prompt design, tool and function calling, orchestration, memory, and retrieval-augmented generation (RAG).
Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or Strands, with the ability to translate those skills to building and deploying agents on Amazon Bedrock AgentCore.
Ability to evaluate non-deterministic LLM and agent output by defining evals, assertions, and quality metrics, and instrumenting agents for tracing and observability (OpenTelemetry, CloudWatch).

Set Yourself Apart With

Strong, innovative and initiative-seeking approach to problem solving and finding solutions
Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
Strong communication skills with sound articulation and comprehension
Ardent desire to explore and learn emerging interactive technologies
Distinct point of view and ability to demonstrate leadership skills
Experience leading development teams and architecting elegant solutions