This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

Staff Software Engineer

The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.

Design and build scalable backend services and APIs that power our document analysis platform

Write maintainable, high-performance server-side code and data processing pipelines

Build and maintain integrations with third-Party services and internal ML systems

Contribute to frontend features and components as needed to deliver features end to end

Work on performance optimization for data-intensive backend operations

Take ownership in engineering excellence and collaborate on code practices and design patterns to ensure long-term maintainability and scalability.

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)

- Proficiency in backend technologies (Node.js, Python, or Go) and API design
- Strong understanding of RESTful APIs, database design, and data modeling
- Experience with SQL and NoSQL databases
- Familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.)
- Proficiency in TypeScript and React for frontend workli
- Foundation in distributed systems, event-driven architectures, and web fundamentals
- Experience building data processing pipelines or working with large-scale data systems

Familiarity with object-oriented design and functional programming principles





Experience optimizing backend performance for data-intensive applications

Interest in language and economics

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.

Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.

Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

Industry Competitive Perks: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.

Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.

Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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📌 Staff Software Engineer Machine Learning (Toronto)
🏢 Thomson Reuters
📍 Toronto