AWS Infrastructure Tech Lead
We are seeking a hands-on AWS Infrastructure Tech Lead to prototype and lead the delivery of a repeatable AWS-based managed VDI solution for energy clients. This role focuses on transforming architecture into a production-ready platform that can be consistently deployed and transitioned into billable engagements. The solution extends beyond virtual desktops to include security, identity, data integration, lifecycle management, observability and operational controls. This is a unique opportunity to establish the engineering foundation for broader offerings across VDI, HPC, data and AI-enabled environments, ensuring integration with energy technology stacks and future modernization programs.
Responsibilities
- Prototype end-to-end AWS infrastructure for managed VDI
- Convert architecture into automated, reusable deployment patterns
- Build and validate core components, including VDI/session brokering, desktop lifecycle, identity integration, data/storage, security controls, observability and image/app pipelines
- Design the platform as a scalable managed service, not just infrastructure
- Develop runbooks, support processes, escalation flows and service readiness artifacts
- Define operational boundaries across EPAM, clients and vendors
- Contribute to SLA/SLO design and production readiness while ensuring 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 establish best practices for AI-assisted engineering
- Automate infrastructure, runbooks, troubleshooting and incident workflows
- Transition from incubation into a lead engineering role on client engagements, owning implementation quality, engineering direction and repeatability
Requirements
- 5+ years of strong experience in cloud infrastructure engineering on AWS
- Background in VDI or end-user compute infrastructure, remote access platforms or digital workplace environments
- Understanding of security infrastructure in cloud environments, including IAM, segmentation, logging, encryption and operational controls
- Expertise in data infrastructure and enterprise storage patterns relevant to workstation-heavy environments
- Proven capability to create automation, operational tooling and production-ready infrastructure patterns
- Skills in designing with repeatability in mind: standard patterns, reusable automation, lifecycle processes and support readiness
- Proficiency with AI tools in 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, Active Directory, Entra ID
- Knowledge of Amazon RDS, Numecent, Nasuni
- Skills in FSx, EFS, S3
- Background in managed service operations, including runbooks, support processes and SLA-driven delivery
- Familiarity with HPC infrastructure, energy data environments or platforms adjacent to geoscience and subsurface workloads
