Future Opportunities: Sr Software Developer - Platform Engineering

Department: Data & Engineering

Location: Remote (Canada)

Compensation: CA$151.2K – CA$189K • Offers Equity

Employment Type: FullTime

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.

Talent Pool Disclaimer: We review applications on an ongoing basis and reach out proactively when your experience lines up with a current or upcoming opportunity. Applying here won’t tie you to a single role or guarantee an immediate interview; instead, it puts your profile in front of our team and keeps you in our talent network for future Platform Engineering openings. We aim to provide feedback to everyone, but depending on demand and review timelines, responses may be delayed.

About the Platform Engineering Team:

Wealthsimple's PE org builds the systems that the rest of engineering builds on. We operate Platform-as-a-Product: our developers are our customers, and we're measured by the leverage we give them. Our work shapes how every engineer at Wealthsimple writes, ships, and runs code. When we do it well, the whole company moves faster and ships with more confidence.

You'll join one of our Platform teams and take ownership of significant pieces of the developer experience. You'll work hands-on across the full lifecycle: designing, building, shipping, and operating the systems engineers depend on every day. You'll lead projects end-to-end, partner with the teams that use what you build, and grow your influence beyond your immediate team as you go. This job posting covers two distinct areas:

• Platform Engineering: You build the systems that enable engineers to build, ship, and operate software reliably and efficiently, including developer platforms, internal tooling, CI/CD and software delivery systems, cloud infrastructure and service frameworks, reliability and observability tooling, and large-scale distributed systems. The focus is on improving developer productivity, system reliability, and software delivery speed.

• Data Platforms: You build the infrastructure that powers data, analytics, and machine learning across the company, including data ingestion pipelines and orchestration, large-scale data warehousing, streaming and batch processing systems, data modeling, quality and governance, and analytics enablement. The focus is on delivering trusted, scalable, and high-quality data systems.

In one these roles you'll have the opportunity to:

• Design and build production-grade distributed systems

• Own technical architecture in your domain (Platform or Data)

• Improve reliability, scalability, and performance of core systems

• Work closely with internal users (engineers or data practitioners)

• Participate in operational ownership (on-call where applicable)

• Lead projects end-to-end from design to production

What we’re looking for:

Senior engineers with deep experience in one of the two areas below:

• Platform Engineering (infrastructure, developer platforms, SRE)

• Data Engineering (data infrastructure, pipelines, analytics systems)

Core expectations (all candidates):

• 7+ years building production systems

• Strong experience in distributed systems or data-intensive systems

• Experience owning system design decisions

• Operational experience (production support, incidents, debugging)

• Experience building systems used by other engineers or data teams

Nice to Have

• Cloud infrastructure experience (AWS/GCP/Kubernetes)

• CI/CD or developer tooling experience (Platform track)

• dbt, Airflow, Snowflake, or similar tools (Data track)

• Observability, reliability engineering, or data quality systems

• Experience working across both domains (not required)

Tech Stack (varies by team)

Python · Cloud infrastructure · Kubernetes · Distributed systems · dbt · Airflow · Streaming systems

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.