Senior DevOps Engineer – AI | Technology & GenAI - Productionisation & Automation | Melbourne
Be at the forefront of our AI journey
Choice and flexibility on where, when and how you work
Learn from the best in the business
What will your typical day look like?
As a Senior Systems Engineer, you'll be at the heart of Deloitte's ClearTrack Generative AI & Digital Assets platform, helping design, build and run highly secure, scalable GenAI infrastructure that powers real‐world outcomes. You'll work closely with AI engineers, developers and architects to keep platforms fast, resilient and production‐ready — while continuously evolving our stack to stay ahead of emerging AI technologies.
In this role, you will:
Design, implement and operate the central GenAI & Assets platform, built on Kubernetes
Engineer reliable, secure cloud infrastructure across AWS and/or Azure
Monitor performance, availability and cost, optimising systems for scale and speed
Troubleshoot complex system, software and networking issues
Own system security, patching, updates and resilience
Drive Infrastructure as Code, CI/CD and DevSecOps best practice
Ensure robust backup, disaster recovery and platform documentation
Partner with IT, security and engineering teams to integrate new AI capabilities
About the team
The National Generative AI and Assets team sits within Deloitte's Strategy, Transformation & Innovation office — a group shaping the future of how the firm delivers value to its largest and most complex clients.
We bring together Design, AI and Software Engineering to build enterprise‐grade GenAI platforms and digital products that improve productivity, decision‐making and business performance. Our work moves quickly from idea to production, combining cutting‐edge technology with strong governance and security.
If you're excited by scaling AI responsibly in enterprise environments, this is where it happens.
What success looks like:
* High availability, low‐latency GenAI platforms running in production
* Secure, compliant systems with minimal downtime
* Well‐documented, automated infrastructure and deployment pipelines
* Continuous improvements to performance, reliability and developer experience
* On‐time delivery of platform enhancements and upgrades
Enough about us — let's talk about you
You'll likely have:
5+ years' experience as a Systems Engineer (GenAI exposure highly valued)
A degree in Computer Science, Engineering, Mathematics or similar (preferred)
Experience supporting platforms in mature, managed services environments
Excellent communication skills and the ability to collaborate across diverse teams
Technical experience we're looking for:
Core engineering
AWS and/or Azure cloud platforms
Networking, databases, messaging and security fundamentals
Infrastructure as Code (Terraform)
CI/CD and DevSecOps tools (GitHub, ADO, ArgoCD)
Identity and security protocols (OAuth, SAML, OpenID Connect)
Generative AI & platform experience:
Designing, building and operating AI chatbots and conversational AI systems
Hands‐on experience with LLM frameworks (LangChain, Haystack, OpenAI / Azure OpenAI)
Building RAG‐based solutions (document ingestion, embeddings, semantic search)
Experience with agentic and automation frameworks (n8n, LangGraph, AutoGen, CrewAI)
Strong understanding of AI tooling: vector databases, prompt management, model evaluation
Integrating AI systems with enterprise platforms, APIs and workflows
Knowledge of AI governance, security and responsible AI in enterprise settings
* At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
* We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
* We support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.
* We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market‐leading parental leave and return to work support package.
Senior DevOps Engineer - AI • Melbourne, Victoria, AU
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