[Hiring] SRE Practice Architect II @TEKsystems

Role Description

We are seeking a Principal Architect to lead the technical vision, architecture, and evolution of our Kubernetes-based infrastructure platforms supporting large-scale, GPU-enabled workloads. This role is responsible for defining end-to-end platform strategy across on-premises and cloud environments, driving architectural standards, and partnering closely with engineering, SRE, and operations teams to deliver highly reliable, scalable infrastructure-as-a-service to internal customers.

As a Principal Architect, you will operate at both the systems and organizational level—setting long-term technical direction, influencing platform adoption, and ensuring architectural decisions align with business priorities, reliability goals, and future growth.

• Own the end-to-end architectural vision for Kubernetes platforms spanning on-prem and cloud environments, with a strong emphasis on scalability, resiliency, and operational excellence.
• Define and evolve reference architectures for:
  • Multi-cluster and multi-tenant Kubernetes environments
  • GPU-enabled workloads and high-performance computing (HPC) use cases
  • Hybrid infrastructure (on-prem + AWS)
• Establish architectural standards, design principles, and best practices for platform services, networking, security, and observability.

Qualifications

• 10+ years of experience in platform engineering, infrastructure architecture, SRE, or distributed systems roles.
• Deep expertise in Kubernetes architecture, including on-prem deployments and production-scale environments.
• Strong understanding of Linux systems internals, performance tuning, and troubleshooting.
• Advanced knowledge of networking fundamentals (L3/L4, DNS, load balancing, VPC networking).
• Proficiency in one or more programming languages such as Go, Python, or Bash, with experience designing automation frameworks or platform services.
• Proven experience in architecting large-scale distributed systems with high reliability requirements.
• Demonstrated ability to influence technical direction across multiple teams without direct authority.
• Bachelor’s degree in Computer Science or a related technical field (or equivalent experience).

Requirements

• Experience with GPU workload management and scheduling (Slurm, Run: AI).
• Architecture experience supporting multi-cluster, multi-tenant Kubernetes at scale.
• Familiarity with distributed storage systems such as Lustre or VAST Data, particularly in HPC or ML environments.
• Experience designing platforms for observability at scale.
• Contributions to open-source projects related to Kubernetes, cloud-native ecosystems, or HPC tooling.
• Prior experience in environments where the majority of infrastructure is on-prem, with hybrid cloud integration.

Benefits

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long-Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Job Type & Location

This is a Permanent position based out of Dallas, TX.

Pay and Benefits

The pay range for this position is $148200.00 - $222400.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Apr 21, 2026.