Job Opportunities API

Our Why Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow. About the Role (your why) Software delivery is changing — fast. The engineers who will define the next decade aren’t just writing code; they’re working alongside AI agents, orchestrating deterministic tooling, and shaping delivery pipelines that move from specification to production at a pace that was impossible two years ago. As a Software Engineer at Datacom, you will be a hands-on individual contributor operating at the frontier of this shift. You will translate product outcomes into machine-executable work, orchestrate specialised agents through end-to-end delivery workflows, and wire in the verification gates – automated, agent-driven, and human – that give us confidence to ship. Integration is a first-class automated concern in your pipeline, not a downstream activity. If you are a hands-on engineer who sees AI not as a bolt-on but as the operating model for modern delivery, this role gives you the mandate and the environment to work that way every day. What you’ll do As a Software Engineer you will be focused on: Operating day-to-day within an agentic SDLC – an iterative, collaborative loop of agents, deterministic tools, and human signals focused on producing production-ready code rapidly, rather than stage-based documentation and handovers. Decomposing requirements into discrete, verifiable units that can be executed by specialised agents and validated through automated verification steps wired into the delivery pipeline. Orchestrating end-to-end delivery flows so that every activity is clearly a tool activity, an agent activity, or a human signal – and ownership is never ambiguous. Applying risk-calibrated routing so changes receive the appropriate depth of automated checks, agent review, and human approval based on change type and impact. Applying responsible, safe, and privacy-aware AI practices – adhering to established governance and risk expectations and ensuring your automations meet them. Monitoring and improving the performance, reliability, and adoption of your automations through continuous iteration. Partnering with engineers, Tech Leads, and business stakeholders to understand constraints, align on delivery outcomes, and contribute to cross-team integration planning. Sharing what you learn – contributing to team practices around effective agent management, task shaping, constraint specification, tool selection, and review discipline. What you’ll bring Required experience: 3+ years in software engineering, with demonstrable hands-on experience shipping production software. Experience with AI, automation, and agent orchestration – you’ve worked in delivery pipelines where AI agents and automated tooling are integral to the workflow, not experimental side projects. Solid grounding in modern software engineering practices – CI/CD, DevOps tooling, performance monitoring, and quality verification techniques. Ability to work across the stack where automation and AI solutions require it, with a practical understanding of data systems. Understanding of data governance, ethics, privacy, and risk management as they apply to AI and automation solutions. Strong analytical and problem-solving skills with sound judgement in selecting methods and techniques. Clear communication skills – you can explain agent behaviour, pipeline design, and automation trade-offs to both engineers and non-technical collaborators. Nice to have: Experience with responsible AI frameworks or governance in a delivery context – you’ve implemented guardrails. Experience in a SaaS or product-centric environment, particularly in payroll, HR tech, or regulated domains. Familiarity with hexagonal architecture, microservices, or event-driven systems. Experience operating in profe