We are seeking a Lead Data & AI Platform Engineer to design, build, and operate the platforms that support data engineering and AI delivery across a range of client engagements. You will lead platform automation, deployment, governance, observability, and reliability for data pipelines, machine learning systems, LLM applications, and AI agents.

This is a hands-on technical leadership role. You will guide architectural decisions, establish reusable engineering practices, and work closely with data and AI teams to bring solutions into production.

Responsibilities

- Lead the design and implementation of secure, scalable cloud infrastructure for data and AI workloads
- Build reusable infrastructure and CI/CD patterns for data platforms, applications, models, and AI agents
- Establish operational practices for AI solutions, including deployment, versioning, evaluation, monitoring, and rollback
- Implement observability across pipelines and AI applications, including logs, metrics, traces, alerts, quality measures, and cost monitoring
- Improve platform reliability through automation, incident response, performance tuning, and capacity planning
- Define standards for cloud security, identity and access management, secrets, networking, and governance
- Support teams deploying LLM applications and agentic systems, including their model integrations, tool calls, and external APIs
- Use AI-assisted tools to improve infrastructure development, troubleshooting, and operational workflows, while validating their output
- Partner with architects, engineers, and stakeholders to make platform decisions and explain technical trade-offs
- Mentor engineers and contribute to technical standards, reusable templates, and platform roadmaps

Requirements

- Strong hands-on experience in platform engineering, DevOps, site reliability engineering, or MLOps, with experience leading technical delivery
- Experience with at least one major cloud platform: Azure, AWS, or Google Cloud
- Strong infrastructure as code skills, such as Terraform




- Experience designing CI/CD pipelines and automated deployment processes
- Scripting or programming experience, preferably in Python
- Experience operating data platforms, distributed workloads, or cloud-native applications
- Strong understanding of monitoring, logging, alerting, incident response, and production troubleshooting
- Knowledge of cloud networking, identity and access management, secrets management, and security practices
- Practical understanding of AI/ML platform operations, including model deployment, versioning, monitoring, and lifecycle management
- Understanding of the operational needs of LLM applications and AI agents, including tracing, evaluation, latency, reliability, and cost
- Ability to lead technical decisions, mentor engineers, and collaborate directly with client and delivery teams

Nice to have

- Experience with Databricks, Snowflake, Microsoft Fabric, or similar data and AI platforms
- Experience with MLflow, model serving platforms, or model registries
- Experience deploying and observing RAG applications or agentic systems
- Familiarity with LLM evaluation, guardrails, and monitoring for response quality
- Experience with Kubernetes, containers, API gateways, or service orchestration
- Experience applying AI to operations, such as alert correlation, incident triage, or root cause analysis
- Experience with GitHub Actions, Azure DevOps, GitLab CI, or similar tools
- Experience with Databricks Asset Bundles, Unity Catalog, or equivalent capabilities
- FinOps experience, including workload optimisation and cloud cost attribution
- Consulting experience, including platform assessments, solution design,



and technical estimation

We offer

- By choosing EPAM, you're getting a job at Excellent Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023.
- Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
- You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
- We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
- At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

Life at EPAM

- We are a leading global provider of digital platform engineering and development services that has rapidly grown in Australia since 2013.
- We adopt a global growth strategy, thinking and acting like start-ups, working in multi-disciplinary teams, and delivering results. With a multinational talented team, we have been delivering innovative solutions for cloud migration, cyber security, digital transformation, etc.
- You will work in an open and friendly work environment where your professional skills and experience can stand out.

How We Hire

- Here, we summarize the typical journey to finding a job within EPAM.
- Apply and tell us about yourself!
- Go through some standard interviews:

- - General interview with a recruiter
- Technical interview with our technology experts
- Manager interview or Offer interview with a hiring manager

- Get ready to join the team!
- Not sure if you meet all the requirements? No problem. Let's talk anyway and find out more!
- It takes 1 min of application to start the journey with us. Apply now!

📌 Lead Data & AI Platform Engineer (Australia)
🏢 EPAM Systems
📍 Australia