Job Description
Date:
8 Mar 2026
Location:
Melbourne, VIC, AU
Sydney, NSW, AU
Department:
Enabling Areas
Description:
Job Requisition ID: 39640
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 DevOps 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 bring strong systems engineering fundamentals plus hands-on GenAI platform experience.
You’ll likely have:
A minimum of 3-5 years professional experience as a Systems Engineer, preferably with a focus on Generative AI
Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is preferrable
Experience with platform and software development, release management in a mature managed services environment
Technical experience we’re looking for:
Core engineering
AWS and/or Azure cloud platforms
Linux/UNIX systems administration
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 is desirable:
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
Solid software engineering skills (Python and/or JavaScript) in production environments
Knowledge of AI governance, security and responsible AI in enterprise settings
Why Deloitte?
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.
Next Steps
Apply now, we’d love to hear from you!
#LI-Hybrid
By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.
8 Mar 2026
Location:
Melbourne, VIC, AU
Sydney, NSW, AU
Department:
Enabling Areas
Description:
Job Requisition ID: 39640
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 DevOps 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 bring strong systems engineering fundamentals plus hands-on GenAI platform experience.
You’ll likely have:
A minimum of 3-5 years professional experience as a Systems Engineer, preferably with a focus on Generative AI
Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is preferrable
Experience with platform and software development, release management in a mature managed services environment
Technical experience we’re looking for:
Core engineering
AWS and/or Azure cloud platforms
Linux/UNIX systems administration
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 is desirable:
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
Solid software engineering skills (Python and/or JavaScript) in production environments
Knowledge of AI governance, security and responsible AI in enterprise settings
Why Deloitte?
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.
Next Steps
Apply now, we’d love to hear from you!
#LI-Hybrid
By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.
💡 Quick Summary
Seeking a career-building opportunity? The Systems/DevOps Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
