Salary
$60k – $85k per year (gross)
Location
Remote (Latvia)
Seniority
Staff
Employment
Full-Time
First seen by Alion on Nov 4, 2026. EPAM Systems scores C on the Alion truth index.
Overview
Company
Impact
Profile match
EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.
Job Description
We are looking for a Lead Platform Engineer to support a customer that develops and manages several HPC clusters across AWS, CoreWeave, GCP and other providers, operating several thousand GPUs today and scaling 10x. This role is Kubernetes-heavy and requires strong software engineering skills to operate multi-cloud platform infrastructure where misconfigurations or failed upgrades cost thousands of GPU-hours, and at this scale, new kinds of failure come up routinely.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
- Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale, including cluster lifecycle, node pool management, networking policy, and stability during rapid growth
- Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP and OCI, with more providers coming
- Manage job scheduling to allocate GPU compute across training and inference workloads
- Define and maintain SLIs/SLOs
- Build monitoring and alerting systems
- Take part in incident response and write post-incident reviews
- Build tooling and automation in production-quality code
- Coordinate daily with the Networking, Storage, Security and AI/ML platform teams
Requirements
- 5+ years of experience in infrastructure engineering, cloud platforms or HPC
- Expertise in Kubernetes at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets
- Proficiency in advanced Python with experience writing production-grade tools, not only scripts
- Proficiency in Terraform, writing and reviewing infrastructure as code daily
- Working knowledge of AWS, including EC2, S3, EFS and FSx for Lustre
- Background in Site Reliability Engineering
- English proficiency at B2 level or higher
Nice to have
- Familiarity with Amazon Elastic Kubernetes Service, Google Kubernetes Engine and Google Cloud Platform
- Knowledge of High-performance computing (HPC), Slurm, Lustre and Amazon FSx
- Familiarity with Go, Rust and C++
- Familiarity with CI/CD
Company offers
- Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
- World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
- Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
- GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
- Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
- Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.
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