QE Lead, Quality, Non-Functional

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,300 diverse individuals, access competitive rewards and benefits, and be part of a greater movement – apply today!

Your Role in Supporting Our Members:
As an  Engineering Lead, Quality, Non-Functional , you will play a senior technical role responsible for ensuring the quality engineering capabilities, performance, scalability, reliability, resilience, observability and operational readiness of member-facing platforms through hands‑on engineering leadership and execution of automation‑first practices across the SDLC. This position focuses on designing and implementing engineering solutions, leveraging deep technical expertise in automation, frameworks, tooling, AI‑driven/agentic techniques, and non‑functional validation.

This is not a traditional QE Lead role. We are looking for a hands‑on senior engineer (senior Performance SDET) to lead a team of test engineers in a dotted line capacity building scalable, code‑driven quality solutions, not just manage testing activities.

This is a  Full‑time, Permanent  role based at  Vancity head office . Our head office is based in Vancouver, but we are open to candidates in  BC and Ontario.  While this position provides a hybrid work arrangement, you will be expected to be on‑site for events and business demands when needed.

How You'll Make an Impact:
Quality (Non‑Functional) Strategy & Planning

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

Technical Leadership

Providing technical leadership as a senior individual contributor to the Quality Engineering team, operating as a “first among equals” within Performance SDET community

Influencing, guiding and coaching Performance SDETs through hands‑on collaboration in various areas including coding, design/engineering, analysis, etc.

Leading by example through hands‑on design, framework development, coding and reviews, setting a high standard for the quality engineering craft on performance engineering, resilience validation and observability

Influencing engineering decisions through technical credibility and sound business judgement, not formal authority

Identifying risks and guiding teams through addressing complex performance, capacity and reliability challenges and execution leadership

Performance Engineering

Designing, building and evolving scalable performance testing frameworks and capabilities.

Establishing repeatable approaches for load, stress, endurance, spike, capacity and volume testing.

Developing realistic workload‑modelling strategies that represent member behavior,…