RESPONSIBILITIES

- Translating non-functional quality engineering strategy, standards and technical direction into executable plans and approaches aligned to business and delivery needs
- Designing and implementing scalable, data-driven validation approaches that translate performance, resilience, availability and scalability objectives into measurable engineering initiatives
- Developing and contributing to engineering quality metrics (e.g. non-functional coverage, test reliability metrics, CI/CD feedback loops) through instrumentation and KPIs
- Implementing and enforcing quality gates (coverage, performance thresholds, reliability criteria) within Dev-owned CI/CD pipelines
- Developing enterprise approaches for generating representative performance and resilience-testing datasets and solutions, including synthetic data generation, masking and anonymization
- Partnering with engineering teams to improve monitoring, logging, tracing and telemetry capabilities using observability platforms for performance analysis and reliability validation
- Supporting release-readiness reviews by validating non-functional quality requirements and operational risks

REQUIRED SKILLS AND EXPERIENCE
- 10+ years of experience in software engineering, performance engineering, site reliability engineering, quality engineering, or related field




- Extensive experience leading enterprise-scale non-functional testing initiatives operating as a senior technical contributor or Performance SDET
- Deep expertise in performance-engineering methodologies, workload modelling, capacity planning and scalability testing.
- Hands-on experience designing and evolving performance-testing frameworks using tools such as k6, Gatling, JMeter, Locust, NeoLoad or equivalent.
- Experience implementing resilience and chaos-engineering practices using tools such as Gremlin, Chaos Toolkit, Azure Chaos Studio or equivalent.
- Robust understanding of API architectures, microservices, distributed systems, event-driven architectures and on-premise or cloud-native applications.
- Proven experience designing and building and evolving performance testing frameworks (not just using them)
- Experience with AI-powered testing or test generation: LLMs, agentic and spec-driven automation
- Experience with CI/CD platforms including GitHub Actions, Azure DevOps, Jenkins or GitLab CI
- Familiarity with containerization and orchestration technologies, AWS or Azure, containers (Docker/Kubernetes)
- Strong understanding of database-performance concepts across relational and NoSQL technologies.
- Experience with observability and monitoring platforms such as Dynatrace, Splunk, Grafana, Prometheus, Azure Monitor or equivalent.

NICE TO HAVE SKILLS AND EXPERIENCE

Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

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📌 QE Lead - Non Functional (Vancouver)
🏢 Insight Global
📍 Vancouver