Technical Lead - QA

Hybrid in San Jose, CA, US • Posted 49 minutes ago • Updated 49 minutes ago
Full Time
No Travel Required
Hybrid
$180,000 - $200,000/yr
Fitment

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Job Details

Skills

  • Automated Testing
  • Python
  • Docker
  • Linux
  • Kubernetes
  • Quality Assurance

Summary

Job Title: Technical Lead - QA (SDET) – Kubernetes Platform

We cannot consider s, visa holders, or candidates requiring sponsorship now or in the future.

About the Company

Our client is a well-funded, fast-growing cloud infrastructure company. Its Kubernetes-native platform helps enterprise and federal customers manage complex multi-cloud, data center, edge, and air-gapped environments at scale. They are expanding their core quality engineering team in San Jose, CA.

About the Role

This is a hands-on individual contributor role, not a people-management position. You will own test strategy, build automation frameworks from the ground up, and work directly with platform engineers on a technically demanding Kubernetes stack.

Responsibilities

  • Design and build automated test frameworks for a Kubernetes-native platform across cloud, data center, edge, and air-gapped deployments
  • Write and maintain end-to-end, integration, and performance tests against Kubernetes clusters, custom operators, CRDs, and multi-cluster environments
  • Validate AI inference workloads, including GPU-based model serving, latency SLAs, and deployment readiness gates
  • Own pre-release quality gates and partner with DevOps and platform engineering on CI/CD pipelines
  • Build observability into test infrastructure using Prometheus, Grafana, and OpenTelemetry
  • Drive non-functional testing: load, chaos, scalability, and compatibility

Required Qualifications

  • ship (mandatory)
  • 12+ years in software quality engineering or SDET roles
  • Deep hands-on Kubernetes expertise: cluster management, operators, CRDs, multi-cluster, and networking (CNI, service mesh, ingress)
  • Production experience with Docker and Kubernetes on AWS, Google Cloud Platform, or Azure
  • Strong test automation engineering: framework design, CI/CD integration, release ownership
  • Proficiency in Python; Go experience or willingness to learn it (the team uses Godog for BDD)
  • Strong Linux skills and comfort with low-level debugging
  • Experience with production observability tooling

Nice to Have

  • CKA, CKAD, or CKS certification
  • Experience with AI inference serving (vLLM, Triton, KServe) or LLM/model validation
  • Background at a Kubernetes-native infrastructure vendor (VMware, Red Hat, Cisco, Arista, Rancher, or similar)
  • TestRail, Testmo, or Zephyr experience
  • Performance, load, and chaos testing background

Job Details

  • Location: San Jose, CA, on-site 3 days per week (hybrid)
  • Employment Type: Full-time, direct hire (W-2)
  • Compensation: $180,000 – $200,000 base salary plus equity
  • Start Date: Immediate joiners preferred
  • No sponsorship. No third-party or C2C.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: PTPTGjBiF1W7UR3
  • Position Id: spec-tl-qa
  • Posted 49 minutes ago
Contact the job poster
Mohit  Panjwani

Mohit Panjwani

Recruiter @ UPLERS INC

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