Lead Data & AI Platform Engineer

EPAM Systems, Inc.; Australia; Remote; AUD 180,000 - 260,000; Full time

Job summary

EPAM Systems, Inc. in Australia seeks a Lead Data & AI Platform Engineer to design, build, and operate scalable data platforms and AI delivery pipelines. You will lead automation, CI/CD, observability, security, and cost governance for data pipelines, LLM apps, and AI agents, while mentoring engineers and defining reusable patterns.

Collaborate with architects and delivery teams to drive platform decisions, ensure reliability, and deliver production-grade solutions across cloud environments.

Qualifications

• Hands-on experience in platform engineering/DevOps/MLOps with delivery leadership.
• Experience with major cloud platforms (Azure/AWS/GCP).
• Skills in infrastructure as code and CI/CD pipeline design.

Responsibilities

• Lead secure, scalable cloud infra for data and AI workloads.
• Build reusable infra and CI/CD patterns for data platforms, models, and AI agents.
• Establish observability, monitoring, and cost governance for pipelines and AI apps.

Skills

Platform engineering

DevOps

MLOps

Python

Cloud automation

Tools

Terraform

GitHub Actions

Azure DevOps

Job description

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.ResponsibilitiesLead the design and implementation of secure, scalable cloud infrastructure for data and AI workloadsBuild reusable infrastructure and CI/CD patterns for data platforms, applications, models, and AI agentsEstablish operational practices for AI solutions, including deployment, versioning, evaluation, monitoring, and rollbackImplement observability across pipelines and AI applications, including logs, metrics, traces, alerts, quality measures, and cost monitoringImprove platform reliability through automation, incident response, performance tuning, and capacity planningDefine standards for cloud security, identity and access management, secrets, networking, and governanceSupport teams deploying LLM applications and agentic systems, including their model integrations, tool calls, and external APIsUse AI-assisted tools to improve infrastructure development, troubleshooting, and operational workflows, while validating their outputPartner with architects, engineers, and stakeholders to make platform decisions and explain technical trade-offsMentor engineers and contribute to technical standards, reusable templates, and platform roadmapsRequirementsStrong hands-on experience in platform engineering, DevOps, site reliability engineering, or MLOps, with experience leading technical deliveryExperience with at least one major cloud platform: Azure, AWS, or Google CloudStrong infrastructure as code skills, such as TerraformExperience designing CI/CD pipelines and automated deployment processesScripting or programming experience, preferably in PythonExperience operating data platforms, distributed workloads, or cloud-native applicationsStrong understanding of monitoring, logging, alerting, incident response, and production troubleshootingKnowledge of cloud networking, identity and access management, secrets management, and security practicesPractical understanding of AI/ML platform operations, including model deployment, versioning, monitoring, and lifecycle managementUnderstanding of the operational needs of LLM applications and AI agents, including tracing, evaluation, latency, reliability, and costAbility to lead technical decisions, mentor engineers, and collaborate directly with client and delivery teamsNice to haveExperience with Databricks, Snowflake, Microsoft Fabric, or similar data and AI platformsExperience with MLflow, model serving platforms, or model registriesExperience deploying and observing RAG applications or agentic systemsFamiliarity with LLM evaluation, guardrails, and monitoring for response qualityExperience with Kubernetes, containers, API gateways, or service orchestrationExperience applying AI to operations, such as alert correlation, incident triage, or root cause analysisExperience with GitHub Actions, Azure DevOps, GitLab CI, or similar toolsExperience with Databricks Asset Bundles, Unity Catalog, or equivalent capabilitiesFinOps experience, including workload optimisation and cloud cost attributionConsulting experience, including platform assessments, solution design, and technical estimationWe offerBy choosing EPAM, you're getting a job at Great 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!