Project Specialist managing equity compensation projects for Morgan Stanley at Work, which provides workplace financial solutions. Supporting automation, data analysis, administration and client service.
About the role
- Engineering Lead driving performance, resilience, and observability quality for Vancity’s member-owned credit union platforms. Leading Performance SDETs and embedding automation into CI/CD.
Responsibilities
- Translate non-functional quality engineering strategy, standards, and technical direction into executable plans
- Design and implement scalable, data-driven validation for performance, resilience, availability, and scalability objectives
- Develop quality engineering metrics, instrumentation, KPIs, and CI/CD feedback loops
- Implement quality gates within Dev-owned CI/CD pipelines
- Develop enterprise approaches for representative performance and resilience-testing datasets, including synthetic data generation, masking, and anonymization
- Improve monitoring, logging, tracing, and telemetry capabilities using observability platforms
- Support release-readiness reviews by validating non-functional quality requirements and operational risks
- Provide senior technical leadership as a first-among-equals individual contributor within the Performance SDET community
- Influence, guide, and coach Performance SDETs through hands-on coding, design, engineering, and analysis
- Design, develop, and review performance-testing frameworks, automation, tooling, and utilities
- Establish repeatable load, stress, endurance, spike, capacity, and volume testing approaches
- Develop realistic workload models representing member behavior, application usage patterns, and transaction profiles
- Build reusable tooling and pipelines embedding performance testing into continuous delivery
- Analyze performance bottlenecks across applications, APIs, databases, integrations, and infrastructure
- Define performance SLAs, SLOs, and system-capacity targets with engineering teams
- Implement AI-assisted and agentic testing approaches for performance-test framework coverage, speed, and maintainability
- Lead resilience testing through fault injection, failure simulation, and chaos engineering
- Validate disaster recovery, failover, high availability, and business continuity capabilities
- Establish resilience-validation standards for cloud-native and distributed architectures
- Support incident post-mortems and root-cause analysis, translating learnings into engineering practices and automated validation
- Partner with engineering leadership, product teams, and engineering teams to improve quality engineering and site reliability maturity
- Advocate for shift-left performance and reliability engineering practices
- Evaluate and implement emerging technologies, including AI-assisted testing and intelligent quality-engineering techniques
Requirements
- 10+ years of experience in software engineering, performance engineering, site reliability engineering, quality engineering, or a related field
- Extensive experience leading enterprise-scale non-functional testing initiatives 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 k6, Gatling, JMeter, Locust, NeoLoad, or equivalent
- Experience implementing resilience and chaos-engineering practices using Gremlin, Chaos Toolkit, Azure Chaos Studio, or equivalent
- Strong understanding of API architectures, microservices, distributed systems, event-driven architectures, and on-premise or cloud-native applications
- Strong programming skills in Python, JavaScript, C#, or Java
- Proven experience designing, building, and evolving performance-testing frameworks, not just using them
- Experience with AI-powered testing or test generation, including LLMs, agentic automation, 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, Docker, and 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
- Ability to work in a hybrid arrangement and be on-site for events and business demands when needed
Benefits
- Annual incentive program eligibility
- Flexible benefit packages customizable annually
- 3–4 weeks of vacation per year, with additional days earned over time
- 2 extra statutory holidays in addition to BC’s 11 statutory holidays
- Care days for personal or family illness
- Health and dental benefits beginning on hire date
- Three levels of health and dental coverage
- Defined benefit pension providing guaranteed income for life
- Inclusive hiring and career development programs for candidates who self-identify as Indigenous, Black, or Trans
- Career development opportunities
- Accessible recruitment accommodations and support
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