Agentic Development Engineer in Test
hace 2 días
Since 2016, Wallarm has been on a mission to secure the internet's critical infrastructure: APIs. Today, we are the trusted choice for over 200 of the world's most innovative companies, from high-growth startups to Fortune 500 and Nasdaq leaders. Our unified platform provides full-lifecycle API security — helping teams discover their attack surface, protect against modern threats, and respond to incidents in real-time. As a graduate of Y Combinator and fueled by a recent $55M Series C, we are scaling our global, remote-first team of 180+ innovators to solve the next generation of security challenges.
Our product:Wallarm API security solutions provide proven performance to support innovative companies serving millions of users and billions of API requests per month. Hundreds of Security and DevOps teams globally use Wallarm daily to:
Discover. See every asset across your entire attack surface—from cloud environments to every API endpoint with auto-discovery capabilities.
Protect. A single suite that goes beyond OWASP Top 10 for full coverage for API specific threats, account takeover, malicious bots, L7 DDoS, and more.
Respond. Streamline incident response with complete visibility, smart triggers, and active threat verification.
Test. Automate security testing of your APIs and web assets. Prioritize remediation for every asset, in every environment.
About this opportunity:
At Wallarm, we've gone all-in on agentic development. Our engineering teams are shipping features faster than ever. But with speed comes chaos – and chaos needs quality control. Here's the thing: our QA engineers have already made the leap. They're distributed across teams, working with agents daily, and proving this approach works. This isn't uncharted territory – it's a path we've started walking. Now we want fresh talent to strengthen the team and push the pace even further.
You'll probably like this job if:
You want to be the person who makes "move fast" compatible with "don't break prod"
You enjoy turning chaotic multi-repo changes into something clean, tested, and mergeable
You want to help define a new role category: ADET
You're excited to build the process, not just follow one
The core work:
Operate AI agents (Claude Code, Cursor, or similar) daily to generate, maintain, and execute tests
Support engineering teams across all product streams – you're the cross-team quality backbone
Keep repositories healthy: update dependencies, maintain test suites, ensure nothing rots
Execute large-scale refactors using agents, then verify the output actually works
Deliver high-volume test coverage quickly without sacrificing accuracy
Partner with DevOps to keep test pipelines stable and running smoothly across all environments
Enable developers to write their own tests – maintain testing frameworks, make them accessible, keep the barriers low
The experimental work:
Help standardize quality processes for agent-built software (we're figuring this out together)
Support rapid hypothesis testing – when product wants to validate an idea fast, you make sure fast doesn't mean broken
Handle the "fix it" requests that come after shipping at speed
We're looking for:
You're QA to the bone. You understand testing principles, test design, and why quality matters. You've done manual testing, automated testing, and everything in between. You know what good coverage looks like.
You're comfortable with code. You can write it, read it, and debug it. Python preferred, but we care more about your ability to learn than your current stack. If you've shipped tests in any language, we can work with that.
You've actually used AI agents for development. Not just ChatGPT for code snippets – real agentic workflows. You've managed sessions in Claude Code or Cursor, understood context limits, dealt with agent hallucinations, and shipped real work this way. This is non-negotiable.
You thrive in ambiguity. This role doesn't have a playbook yet. You'll be writing it. If that excites you more than it scares you, keep reading.
You communicate clearly. Remote work + cross-team collaboration = writing matters. You document what you do. You explain your decisions. You don't leave people guessing.
Experience with distributed systems testing
Familiarity with our stack: Python, Golang, TS, Kubernetes, Terraform
Load testing or performance testing background
DevOps knowledge (Kubernetes, Helm, Terraform, CI/CD).
Prior experience in API security or cybersecurity products
Fully remote: work from anywhere with flexible hours
Best-in-class AI tooling: Claude Max, Cursor Pro, whatever you need
Direct access to leadership: no layers between you and decisions
Real ownership: this is your role to shape
Define the future: a rare chance to define what "QA" looks like in the age of AI
Benefits: paid time off, medical insurance, equipment budget, professional development
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