Senior Infrastructure Engineer
We are seeking a hands-on Senior Infrastructure Engineer to prototype and lead the delivery of a repeatable AWS-based managed VDI solution for EPAM Energy clients. This role focuses on transforming architecture into a reusable, production-ready platform that can be consistently deployed and transitioned into billable engagements. The solution extends beyond virtual desktops to include security, identity, data, lifecycle management, observability and operational controls required for a managed service. This position will help establish the engineering foundation for broader offerings across VDI, HPC, data and AI-enabled environments.
Responsibilities
- Prototype end-to-end AWS infrastructure for managed VDI
- Convert architecture into automated, reusable deployment patterns
- Build and validate core components such as VDI/session brokering, desktop lifecycle, identity integration, data/storage, security controls, observability and image/app pipelines
- Design the platform as a scalable managed service rather than just infrastructure
- Develop runbooks, support processes, escalation flows and service readiness artifacts
- Define operational boundaries across EPAM, clients and vendors and contribute to SLA/SLO design and production readiness
- Ensure repeatable, multi-client operability
- Implement IAM/SSO, segmentation, private connectivity, encryption, logging and isolation
- Design data/storage patterns (file, object, HPC) based on workload needs and enable governed access aligned with future AI/data workflows
- Apply AI tools to accelerate development, testing, documentation and operations, and automate infrastructure, runbooks, troubleshooting and incident workflows
- Establish best practices for AI-assisted engineering
- Transition from incubation work into a lead engineering role on client engagements, owning implementation quality, engineering direction and repeatability
Requirements
- 3+ years of experience in cloud infrastructure engineering on AWS
- Background in VDI or end-user compute infrastructure, remote access platforms or digital workplace environments
- Practical understanding of security infrastructure in cloud environments, including IAM, segmentation and logging, as well as encryption and operational controls
- Expertise in data infrastructure and enterprise storage patterns relevant to workstation-heavy environments
- Skills in creating automation, operational tooling and production-ready infrastructure patterns
- Capability to design with repeatability in mind, including standard patterns, reusable automation, lifecycle processes and support readiness
- Proficiency in AI tools applied to SDLC and IT process automation
- Strong ownership mentality and comfort operating in an ambiguous, startup-like incubation setting
- English proficiency at B2 level or higher
Nice to have
- Familiarity with Leostream, NICE DCV and Active Directory or Entra ID
- Knowledge of Amazon RDS, Numecent and Nasuni, or FSx, EFS and S3
- Background in managed service operations, runbooks, support processes and SLA-driven delivery
- Understanding of HPC infrastructure, energy data environments or platforms adjacent to geoscience and subsurface workloads
- Flexibility to use VDI, HPC, data and AI infrastructure concepts rather than working in a narrow technology silo
