Senior AI Infrastructure Engineer
We are looking for a highly skilled Senior AI Infrastructure Engineer to design, build, operate, and optimize scalable infrastructure that supports enterprise AI/ML platforms and workloads. The ideal candidate will have deep expertise in cloud-native technologies, Kubernetes, observability, automation, and platform reliability, with a strong focus on enabling AI/ML teams through robust and efficient infrastructure.
Responsibilities
- Design, build, and operate scalable infrastructure supporting enterprise AI/ML platforms and workloads
- Manage and maintain Kubernetes and Docker environments for containerized applications
- Operate and optimize infrastructure on cloud platforms to support AI/ML workloads
- Develop automation scripts and tools to streamline platform operations
- Implement and maintain monitoring, logging, and observability solutions across infrastructure
- Administer Linux systems and ensure reliable platform operations
- Apply system design principles to improve scalability, performance, and reliability
- Troubleshoot infrastructure, platform, application, and container orchestration issues
- Conduct log analysis, root cause analysis, and incident management for production issues
- Configure and maintain networking components, including DNS, load balancing, ingress, and security controls
- Provide operational support for mission-critical production environments
Requirements
- Bachelor's degree in Engineering (B.Tech/B.E.) with 5+ years of relevant experience
- Expertise in Kubernetes and Docker for container orchestration and management
- Experience managing infrastructure on at least one major cloud platform (Azure, AWS, or GCP)
- Proficiency in scripting and automation using Python, Shell, or Bash
- Familiarity with monitoring, logging, and observability tools such as Prometheus, Grafana, and ELK/OpenSearch or Datadog
- Understanding of Linux systems administration and platform operations
- Knowledge of system design, scalability, performance optimization, and reliability engineering
- Skills in troubleshooting infrastructure, platform, application, and container orchestration issues
- Capability to perform log analysis, root cause analysis, and incident management
- Understanding of networking fundamentals, including DNS, load balancing, ingress, and security concepts
- Background in providing operational support for mission-critical production environments
Nice to have
- Background in supporting AI/ML platforms or GPU-based workloads
- Knowledge of advanced networking concepts such as service mesh (Istio/Linkerd), network policies, API gateways, and traffic management
- Familiarity with cloud-native architecture patterns and platform engineering best practices
- Familiarity with SRE practices, including SLIs, SLOs, error budgets, and disaster recovery
- Hands-on experience with Infrastructure as Code tools such as Terraform and Helm Charts
- Experience in cloud cost monitoring and optimization for high-compute AI workloads
Benefits
With us you can:
- Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
- Receive the necessary equipment to perform your work tasks
- Change projects and technology stacks within EPAM
- Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
- Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
- Participate in volunteer, charity programs and communities (both technical and interest-based)
We focus on your professional growth:
- You can plan your individual career path together with your manager
- Receive regular feedback from colleagues
- Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
- Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
- Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
- Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
- Study at EPAM Solution Architecture School with the instructors who are practicing architects
- Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
- Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
What we offer:
- Vacation and sick leave (including a sick leave without a medical certificate)
- A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
- Medical insurance for family members at corporate rates
- Company support during significant life events (childbirth or adoption, marriage, etc.)
- Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
- E-kids program - a free programming language training program for EPAMers' children
About the Company
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