Responsibilities
- Lead integration delivery teams across complex, end-to-end implementations.
- Set and uphold technical standards, patterns, and best practices.
- Be the go-to technical authority — unblocking problems, reviewing code, and making architecture decisions that matter.
- Own delivery quality across the full SDLC, from design through to production.
- Design and build robust, scalable, and secure integration solutions across a modern toolset.
- Apply API-led connectivity, event-driven architecture, and asynchronous messaging patterns at enterprise scale.
- Apply AI tooling within your own workflow and help your team do the same — from code generation to automated testing to smarter monitoring.
- Help shape Datacom's growing AI-in-integration capability and be one of the people who can say: "I helped build that."
- Coach and grow engineers at all levels — sharing knowledge, building confidence, and lifting capability across the practice.
- Foster a culture of curiosity, quality, and continuous improvement.
Requirements
- 5+ years delivering enterprise integration solutions, with 1–2+ years in a lead or senior capacity.
- Hands-on experience with integration platforms — MuleSoft, Azure Integration Services, Kafka, Solace, Kong, Dell Boomi, Java Spring.
- Strong API design — REST, versioning, security, governance, and documentation.
- DevOps and CI/CD (Azure DevOps, Jenkins, Git CI/CD), Cloud (Azure or AWS), and Containers (Docker, Kubernetes, OpenShift, AKS, EKS).
- Proven ability to lead technical teams and drive delivery outcomes.
- A mentor's mindset — you lift the people around you.
- Clear communicator across both technical and stakeholder audiences.
- Genuinely curious about AI-enabled integration, continuously learning, and always thinking about what's next.
Nice to Have
- Practical experience applying AI tools in an engineering or integration context is a genuine advantage — we want to grow this together.
- Experience in regulated or enterprise industries (government, finance, health).
- Exposure to pre-sales, solution shaping, or client-facing consulting.
- Familiarity with emerging AI frameworks relevant to integration workflows.
Benefits
- Work on some of the most complex integration challenges in Australia and New Zealand — at a moment when AI is fundamentally reshaping the space.
- Be part of a practice that genuinely invests in its people — real professional development, a collaborative culture, flexible hybrid working, and work that actually stretches you.
Work Arrangement
Hybrid — Australia, New Zealand