Staff SDET

Safe Software

2d•Hybrid

About The Position

As a Staff SDET, you will lead the architecture and implementation of enterprise-grade test automation systems. You’ll work closely with development, product, and DevOps teams to integrate testing deeply into our CI/CD pipelines, helping reduce risk and improve delivery confidence. This role requires strong technical expertise in test automation and infrastructure, as well as the ability to influence and guide quality practices across multiple teams. You’ll play a key role in defining testing standards, optimizing system testability, and driving initiatives that improve performance, reliability, and maintainability at scale. This is a leadership-level individual contributor role for someone who brings both depth and breadth in quality engineering. Your ability to mentor, innovate, and scale testing impact across an organization will be critical to success. We encourage applications from candidates of all backgrounds. If your experience aligns with the goals of the role—even if not in a traditional path—we’d love to hear from you. About The Team At Safe Software, our quality engineering efforts span functional, performance, and systems-level testing across complex data integration products. You’ll join a collaborative, cross-functional environment where quality is considered a shared responsibility, not a separate phase. As a Staff SDET, you’ll have opportunities to shape how testing is done across teams and platforms. You’ll work with a growing group of engineers who value thoughtful design, automated delivery, and continuous learning. Notably, as Safe expands AI capabilities across our product and our internal engineering practice, this role will help define what ‘quality’ means for non-deterministic systems.

Requirements

8+ years of experience in software development or test automation, including roles with technical leadership scope.
Advanced skills in programming languages such as Python, Java, or C++.
Deep experience with testing frameworks like Pytest, Selenium, or custom solutions.
Strong knowledge of CI/CD and orchestration tools (e.g., Jenkins, GitHub Actions, Docker, Kubernetes).
Experience with infrastructure-as-code, systems-level testing, and test infrastructure at scale.
Proven ability to influence cross-team testing strategies and mentor engineers across experience levels.
Strong communication and leadership skills, with a collaborative and inclusive approach.

Nice To Haves

Hands-on experience testing AI/ML or LLM-powered features, including building evaluation frameworks and dealing with non-deterministic outputs.
Practical fluency with AI coding assistants and agentic dev tools (Claude Code, Copilot, Cursor, etc.) and a point of view on how to use them safely and effectively in a quality engineering context.
Experience integrating AI capabilities into developer tooling or test infrastructure (e.g., AI-driven flake detection, auto-triage, self-healing tests).
Experience scaling test practices in hybrid or cloud-native environments.
Familiarity with performance profiling, observability tooling, or resilience testing.
Involvement in community-of-practice leadership or internal quality initiatives.
Passion for continuous improvement and innovation in test automation and engineering practices.

Responsibilities

Define and lead the vision for test automation architecture and quality engineering at scale.
Design, build, and evolve reusable test frameworks that are maintainable, scalable, and efficient.
Collaborate with Engineering, Product, and DevOps to embed testing throughout CI/CD and cloud-based deployments.
Guide architectural decisions to improve testability, observability, and long-term system health.
Identify and resolve quality gaps, technical debt, and inefficiencies across teams.
Mentor developers, SDETs, and QA team members to build testing skills and promote a quality-first mindset.
Standardize tools and technologies that support test automation and improve development workflows.
Monitor and report on testing coverage, quality KPIs, and risk areas to inform planning and continuous improvement.
Champion AI-assisted development across the org, piloting and standardizing tools that accelerate test authoring, triage, results analysis, and code review.

Benefits

Meaningful Work
A Supportive Environment
Social Responsibility
paid time off to volunteer
Learning & Career Development
annual learning budget
training programs
Flexible Working Hours
remote-friendly work arrangements
Work-Life Balance
3 weeks of vacation
6 seasonal days off
Health & Wellness
Extended health, dental, health or lifestyle spending, and counseling benefits from day 1
Family is important
Parental Leave Top-Up Program
Shared Success
bi-annual profit sharing
RRSP/TFSA matching program
An Accessible Commute
complimentary parking
bike storage