14 часов назад
Senior QA Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior QA Engineer (AI): Building end-to-end quality strategy, automated test suites, and release confidence for an AI-powered security product running across Kubernetes, runtime telemetry, and distributed services with an accent on automation, platform testing, and ML-driven detection validation. Focus on designing ground-truth datasets, evaluating false-positive and false-negative rates, reproducing agent behaviour, and proving detection correctness as models and data evolve.
Location: Vancouver, Canada. In-office attendance is required twice weekly on Mondays and Wednesdays.
Company
develops Calico, a network security and observability platform for Kubernetes clusters, and Lynx, a product for detecting and evaluating AI-agent behaviour at runtime.
What you will do
- Own the test strategy across unit, integration, end-to-end, and non-functional testing.
- Design automated test suites, CI pipelines, tooling, fixtures, and synthetic data.
- Test distributed Kubernetes-native systems, multi-node clusters, telemetry pipelines, APIs, and backend services under realistic load and failure conditions.
- Validate ML-driven detections, risk scores, and behavioural baselines using regression testing, ground-truth datasets, and false-positive/false-negative analysis.
- Investigate defects, isolate root causes, and drive issues to resolution with engineering.
- Define release-readiness criteria and represent quality in design and release decisions.
Requirements
- 5+ years of software QA or test engineering experience, with a strong focus on automation.
- Proficiency in at least one test-automation programming language; Python is preferred.
- Hands-on experience testing distributed systems, APIs, and backend services.
- Working knowledge of containers and Docker.
- Experience building and maintaining CI/CD pipelines with integrated automated tests.
- Strong debugging, root-cause analysis, and written and verbal communication skills; comfort with and advocacy for AI tooling.
Nice to have
- Experience testing AI-powered applications or AI/ML systems, including prompt and agent testing, LLM evaluation, RAG validation, hallucination and safety testing, or AI regression testing.
- Working knowledge of Kubernetes and cluster operations.
- Experience with observability and telemetry pipelines, including metrics, logs, traces, ClickHouse, or Prometheus.
- Performance, load, or chaos testing experience.
- Exposure to eBPF, kernel telemetry, runtime security tooling, or open-source testing and infrastructure projects.
Culture & Benefits
- Small, autonomous engineering team working closely with Lynx engineering leadership.
- Opportunity to establish quality practices for a new product from the ground up.
- Claude Code is expected for internal development and testing workflows.
- Collaborative and flexible work environment focused on respect, openness, and teamwork.
- Full health, vision, and dental benefits with competitive compensation.
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