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Technical Lead (Quality Assurance)

Spectro Cloud

Skills

Required

  • Kubernetes
  • test automation
  • API
  • software quality engineering
  • CRDs
  • scheduling
  • Go
  • AWS / Azure / GCP / VMware / bare-metal
  • edge / IoT
  • Prometheus

Preferred

  • LLM/GenAI inference stacks
  • distributed inference
  • GPU cluster operations
  • open-source
  • cloud-native testing
  • automation
  • DevOps
  • inference
  • AI inference
  • GPU-based serving

Join Spectro Cloud as a Technical Lead in Quality Assurance. You will be responsible for ensuring the release quality of our core platforms, operating at the intersection of modern cloud-native technologies and release engineering discipline. You will design and maintain automated release pipelines and test suites, collaborate closely with Software Engineering, DevOps, and Product teams, and deliver dependable, enterprise-grade releases to our global customers.

USD 280,000 - 304,000

Responsibilities

  • Conception et mise en œuvre de pipelines de publication automatisés et de suites de tests.
  • Collaboration avec les équipes d'ingénierie logicielle, DevOps et produit tout au long du cycle de publication.
  • Direction technique et architecture des tests à travers plusieurs équipes en tant que contributeur individuel de niveau personnel ou principal.
  • Hands-on experience testing AI inference workloads: GPU-based serving, model deployment frameworks (e.g., Triton, vLLM, KServe), throughput/latency benchmarking, and inference accuracy validation (must-have)
  • Strong understanding of modern testing methodologies: contract testing, chaos/resilience testing, performance and scale testing, and CI/CD-driven quality gates
  • Subject-matter expertise in networking: TCP/IP, DNS, load balancing, CNI plugins, service mesh, ingress/egress, and network policies (must-have)
  • Deep experience leading development of automation using Go-based test frameworks like Godog at scale

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
  • 12+ years of IT experience with a strong track record in software quality engineering and test automation for complex, distributed systems
  • Subject-matter expertise in Kubernetes: architecture, operators, CRDs, scheduling, storage, and multi-cluster topologies (must-have)
  • Expert-level proficiency in Go, with production-quality code; comfortable reading and contributing to product code, not only test code
  • Strong proficiency in Linux-based operating systems and low-level troubleshooting/debugging (must-have)
  • Demonstrated experience leading test architecture and technical direction across multiple teams as a Staff or Principal-level individual contributor
  • Extensive hands-on experience with containers and cloud platforms (AWS, Azure, GCP, or VMware/bare-metal)
  • Proven ability to influence engineering peers and leadership without direct authority
  • Deep, hands-on experience designing and building test automation frameworks from the ground up for both API and UI (must-have)
  • Experience testing Kubernetes lifecycle management, cluster APIs (CAPI), or edge/IoT Kubernetes deployments

CKA, CKAD, or CKS certification

  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry) applied to test infrastructure
  • Track record of setting and delivering on multi-quarter technical strategy for quality/automation organizations
  • Experience partnering with customer-facing teams on escalations and driving preventative quality improvements from field learnings

Preferred

  • Experience with LLM/GenAI inference stacks, distributed inference, and GPU cluster operations
  • Prior contributions to open-source Kubernetes or cloud-native testing projects