# QA / DevOps Engineer

**Company:** [NetSpeek](http://jobs.workable.com/companies/7Toby5ZjToGjmk1riCkwQB.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Engineering

[Apply for this job](http://jobs.workable.com/view/6dcf973f-1ebd-436c-9bbe-4a65236df343)

## Description

### **QA / DevOps Engineer — NetSpeek**

NetSpeek is the **agentic control plane for enterprise physical infrastructure**. We govern how AI agents reason about, decide on, and execute actions across enterprise endpoints. Our reasoning and execution layer — Lena — sits in customer production environments, where reliability, observability, and auditability are non-negotiable.

The QA / DevOps Engineer owns platform quality, release reliability, and the AI-assisted engineering workflows our team uses to ship safely.  

### What you'll work on

-   Owning CI/CD pipelines that gate releases against the AI failure modes that matter (eval regressions, groundedness drift, performance regressions).
-   Building observability around AI behavior in production — beyond standard infra metrics.
-   Designing test strategies for workflows that interact with physical hardware (simulator-first, hardware-on-demand).
-   Driving AI-assisted engineering practice: tooling, prompt review, and evaluation of AI code suggestions.

**You're a fit if**

-   You have 3+ years of combined QA and DevOps experience.
-   You've owned a CI/CD pipeline end-to-end in production.
-   You have hands-on production experience with AWS (preferred), Azure, or GCP.
-   You use AI-assisted engineering tools day-to-day (Cursor, GitHub Copilot, Claude Code, or similar).
-   You're familiar with at least one observability stack (Elastic, Datadog, Splunk, Grafana, or similar).
-   You have API testing experience (Postman, REST-assured, or custom tooling).

**You probably aren't a fit if**

-   You see QA as separate from engineering rather than embedded in it.
-   You haven't worked in environments where AI changes the failure modes.

### How to apply

Run the [Stop the Regression](https://build.netspeek.ai/lab/regression-test) for this role, then submit your structured response with the application. Or take the [Field Note path](https://build.netspeek.ai/apply/qa-devops-engineer/field-note) as a single essay question instead.

Either path is read by a human on our hiring team. No AI scoring, no auto-rejection.

### Read the [Engineering Handbook](https://build.netspeek.ai/handbook) and [How We Evaluate](https://build.netspeek.ai/principles) before applying.  
  
After an offer

We run standard pre-employment checks before your start date: identity verification, right-to-work confirmation, employment verification, and (where lawful and role-relevant) a criminal record check. We don't run credit checks or online reputation scoring.[](https://build.netspeek.ai/handbook#pre-employment-checks\).)

## Requirements

### Must-have

-   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; Azure or GCP also welcome) and deployment pipelines.
-   API testing and debugging experience (Postman, REST-assured, or custom tooling).
-   Strong troubleshooting and analytical skills.
-   Daily comfort with AI-assisted engineering tools (Cursor, GitHub Copilot, Claude Code, or similar) in QA and DevOps workflows.

### Strong signal

-   GitHub Actions, Azure DevOps, or comparable CI/CD tooling experience.
-   Observability and logging system exposure (Elastic, Datadog, Splunk, Grafana, or similar).
-   Docker and containerized environment familiarity.
-   Experience designing test or evaluation workflows for AI systems (LLM output validation, RAG pipeline testing, prompt-based test orchestration, or comparable).
-   Startup or SaaS environment experience where QA also touched operations.

## Benefits

We are growth-stage and fully remote, not late-stage. We invest in the work, the tools, and the people, not the manifesto.

**What that looks like in practice:  
**

-   Flexible / unlimited time off
-   Health insurance
-   Equity participation, discussed at offer
-   Fully remote
-   Architectural ownership of work that ships to real enterprise customers
-   Direct working relationships with the people setting platform strategy
-   A growth-stage platform where the decisions you make in your first year shape the product for years
-   AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable)