W
Wealthsimple
Staff Software Developer (Production Engineering)
Skills
AIKubernetes
2 months ago
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Important information
Contract type:
Permanent
Location:
Canada
Work mode:
Onsite
Published on:
7 August 2026
What they need
- We build the products and infrastructure that millions of Canadians trust with their financial lives. Data & Engineering at Wealthsimple spans everything from the client-facing apps to the systems running underneath them — and we hold ourselves to a high bar on both. We move fast, but we build thoughtfully: quality, security, and scalability aren’t trade-offs here, they’re the standard
- The Production Engineering team sits within Platform Experience, on the boundary between Platform and Product. Our mandate is to raise reliability across Wealthsimple’s most critical flows — reducing incidents, helping service teams ship safely, and turning individual fixes into platform-wide improvements. We measure ourselves against two targets: 99.9% uptime on critical flows, and fewer than 1% of weekly active users experiencing errors in the app. If you want to work on hard problems with people who care deeply about craft, you’ll fit right in
- This is a new role — one that doesn’t yet exist at Wealthsimple — and it’s a meaningful one
- As a Staff Software Developer on Production Engineering, you’ll bring senior technical leadership to the work of making Wealthsimple more reliable at scale
- You’ll work across platform and product teams, identify the highest-leverage reliability problems, and build solutions that don’t just fix the immediate issue but raise the floor for everyone
- This isn’t a role where you sit in one corner of the codebase. It’s a role where you shape how engineering gets done across the company
- Improve the platform to prevent incidents — designing and driving adoption of guardrails, sensible defaults, and engineering standards that reduce the likelihood of failures across services
- Build tooling that reduces time to mitigation when incidents occur, including contributing to our in-house product on AI-assisted incident response
- Own the investigation and follow-through on load test findings — translating results into concrete reliability improvements across critical flows
- Work across platform and product engineering teams as a technical influencer — participating in architecture and readiness reviews, coaching service owners, and driving adoption of scalable reliability practices
- Identify recurring failure patterns and design platform-level fixes that prevent them from showing up again in a different service
- Contribute to the team’s reliability syncs with product engineering, helping align on incident themes, critical-flow risks, and the next highest-leverage initiatives
Benefits
- Retirement savings matching plan through Wealthsimple Work
- Company equity for full-time employees
- Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
- Paid parental leave (6 months topped up to 100% of salary)
- 20 vacation days per year
- 90 Days Away program
- Top-tier health benefits
- Life & disability insurance
- Generous sick and mental health days
- Gender Affirmation benefits
- Up to $5,000 per year for mental health supports
- Employee resource plan including services like RMT, psychology, and physiotherapy
- Up to $1,500 per year for professional development
- Up to $1,500 per year for wellness and home office expenses
- Employee resource groups
- Social impact hours- Experience with load testing and capacity planning, and the ability to translate findings into concrete engineering improvements
- Proven ability to work across engineering teams as a technical influencer — driving adoption of standards and practices without direct authority
- Demonstrated track record of improving reliability at scale — reducing incidents, building guardrails, or driving operational standards across multiple teams
- 8+ years of software engineering experience, with significant time in platform, infrastructure, or SRE work
- Strong proficiency in backend systems and distributed architecture; you can diagnose complex failure modes across a service mesh
- Strong written and verbal communication — comfortable presenting findings and recommendations to both engineering teams and senior leadership
- Familiarity with Kubernetes, Helm, Argo and modern deployment tooling
- You think in systems — you’re not looking for the fix, you’re looking for what caused the problem and how to make sure it doesn’t happen elsewhere
- You’re comfortable working without direct authority; you build credibility through the quality of your thinking and the clarity of your recommendations
- You hold a high bar for operational excellence without making it someone else’s problem to catch up to — you bring people along
- You’re energised by ambiguity, not slowed down by it; you know how to prioritise when everything feels urgent
- You’re curious about where AI-assisted tooling is headed in reliability engineering, and you want to help shape how we use it — not just observe it from a distance
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