Published on
Full-Time
Remote, Hybrid, or On-Site
Salary Negotiable
About the Role
QA/ DevOps Engineer
NetSpeek's Lena is the first Language Enabled Network Administrator built exclusively for operating multi-vendor networks of UC and Pro AV technologies. As a generative AI platform built from the ground up for enterprise-scale network operation, Lena automates much of the day-to-day administration of your UC and Pro AV network. Lena is a multi-lingual network administrator trained on a wealth of industry standards, platform-specific training, technical documentation and the operational history and context specific to your enterprise. Lena can autonomously monitor the network 24x7x365, observe when issues arise, investigate root causes, develop and execute resolutions, and generate reports to optimize both autonomous and human-driven workflows.
Overview
This is not a generic SaaS QA role. We are building release confidence for an agentic control plane that runs across cloud, edge, and physical device integrations.
You are a QA-first engineer who has moved past manual testing into automation and operational tooling. You treat quality as a property of the product, not a phase at the end of a sprint.
You have lived inside CI/CD pipelines. You understand cloud deployment. You can reason about whether a release is safe to ship. You are comfortable in a startup where the person who writes the test plan also adjusts the pipeline that runs it.
Our engineering work is AI-assisted day to day, and the platform itself runs on AI. We expect you to already use — or be ready to adopt — tools like Cursor, GitHub Copilot, or Claude Code in your QA automation and DevOps work. Hands-on experience designing test or evaluation workflows for AI systems is a strong signal.
Key Responsibilities
Manual and automated test plan design and execution
Release validation across cloud, edge, and device integration workflows
Regression risk identification and platform stability monitoring
CI/CD pipeline maintenance and improvements
Environment management across Dev, Beta, and Production
Deployment quality and operational health monitoring
Observability and logging contributions
Infrastructure automation and operational tooling
You will work directly with the backend, frontend, and AI engineers inside sprint cycles. With product engineering on release readiness. With the EVP Product and Engineering on the discipline standards that keep us shippable.
Technical Requirements
Direct experience in software QA and modern testing workflows including automation
Working exposure to DevOps practices and CI/CD systems
Familiarity with cloud platforms (AWS preferred) and deployment pipelines
API testing and debugging experience
Strong troubleshooting and analytical chops
Daily comfort with AI-assisted engineering tools (Cursor, GitHub Copilot, Claude Code, or similar) in QA and DevOps workflows
Preferred Qualifications
GitHub Actions, Azure DevOps, or comparable CI/CD tooling experience
Observability and logging system exposure (Elastic, Datadog, or similar)
Docker and containerized environment familiarity
Designed test or evaluation workflows for AI systems — LLM output validation, RAG pipeline tests, prompt-based test orchestration, or similar
Startup or SaaS environment where QA also touched operations
Soft Skills
Proactive: Take initiative and drive projects forward while collaborating effectively with the team.
Continuous Learner: Passionate about staying current with emerging AI technologies.
Problem Solver: Brings an innovative approach to complex technical challenges
Featured Benefits
Medical insurance
Requirements Added by the Job Poster
• Authorized to work in the United States
