Technical Lead, QA

Spectro Cloud

. Lead release quality for Spectro Cloud's core platforms as the final gate before GA, patch, and hotfix releases reach enterprise customers .

Posted 9/25/2026full-timeSan Jose • California • United StatesSenior💰 $280,000 - $3,040,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDNSGoogle Cloud PlatformGrafanaIoTKubernetesLinuxPrometheusTCP/IPVMwareGo

About the role

Key responsibilities & impact

Lead release quality for Spectro Cloud's core platforms as the final gate before GA, patch, and hotfix releases reach enterprise customers
Design and maintain automated release pipelines and regression, upgrade, and compatibility test suites across APIs, UIs, and backend services
Certify release matrices across Kubernetes distributions, operating systems, cloud providers, edge topologies, and air-gapped environments
Define release test strategies in TestRail
Establish automated CI/CD release gates
Validate upgrades and verify bug fixes
Collaborate with Software Engineering, DevOps, and Product teams throughout the release lifecycle
Drive AI-assisted workflows to accelerate test design, execution, and coverage
Provide test architecture and technical direction across multiple teams
Partner with customer-facing teams on escalations and drive preventative quality improvements from field learnings

Requirements

What you’ll need

12+ years of IT experience with a strong track record in software quality engineering and test automation for complex, distributed systems
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
Deep, hands-on experience designing and building test automation frameworks from the ground up for both API and UI
Subject-matter expertise in Kubernetes, including architecture, operators, CRDs, scheduling, storage, and multi-cluster topologies
Subject-matter expertise in networking, including TCP/IP, DNS, load balancing, CNI plugins, service mesh, ingress/egress, and network policies
Hands-on experience testing AI inference workloads, including GPU-based serving, model deployment frameworks, throughput/latency benchmarking, and inference accuracy validation
Expert-level proficiency in Go with production-quality code; comfortable reading and contributing to product code
Extensive hands-on experience with containers and cloud platforms such as AWS, Azure, GCP, or VMware/bare-metal
Strong proficiency in Linux-based operating systems and low-level troubleshooting/debugging
Experience leading test architecture and technical direction across multiple teams as a Staff or Principal-level individual contributor
Ability to influence engineering peers and leadership without direct authority
Strong understanding of contract testing, chaos/resilience testing, performance and scale testing, and CI/CD-driven quality gates
Preferred: experience with Go-based test frameworks like Godog at scale
Preferred: experience testing Kubernetes lifecycle management, CAPI, or edge/IoT Kubernetes deployments
Preferred: experience with LLM/GenAI inference stacks, distributed inference, and GPU cluster operations
Preferred: CKA, CKAD, or CKS certification
Preferred: experience with Prometheus, Grafana, or OpenTelemetry applied to test infrastructure
Preferred: contributions to open-source Kubernetes or cloud-native testing projects
Preferred: multi-quarter technical strategy for quality/automation organizations
Preferred: experience partnering with customer-facing teams on escalations and preventative quality improvements
Must be eligible to lawfully work in the U.S. immediately; employer cannot sponsor U.S. work authorization now or in the future

Benefits

Comp & perks

Equity
Medical, dental, and vision insurance, including 100% employer-paid base-level coverage for employees
Company-sponsored retirement savings plan
Flexible paid time off (PTO)
12 paid company holidays
Volunteer time off
Up to 12 weeks of paid maternity leave
8 weeks of paid paternity leave
Catered lunches on in-office days
Collaborative, team-oriented work environment