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 Great Place To Work-CertifiedTM in ****, Glassdoor's Top 100 Best Places to Work in **** & one of Most Loved Workplace, as recognized by Newsweek, ***********.
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 ****.
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 setting where your professional skills and experience can stand out.

📌 Lead Data & Ai Platform Engineer (New South Wales)
🏢 EPAM Systems
📍 New South Wales