23 Oct
|
PowerToFly
|
Toronto
23 Oct
PowerToFly
Toronto
Staff Software Engineer, Full Stack
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.
As a Staff Software Engineer, Full Stack at Noetica, you'll help build robust backend systems and APIs that power our search-centric web experience that’s core to the workflow of our end users. This role is backend-leaning — you'll spend most of your time on server-side architecture, data processing, and API design, while also contributing to frontend features as needed. You will collaborate with a talented team of AI/ML PhDs, legal SMEs, and market strategists to design, build, and maintain scalable backend services. The backend service you will contribute to is the critical piece between our data product and our end users. Its system architecture decisions will influence the technical direction of our platform and decide our velocity of making impacts. Your contributions will directly impact the performance and reliability of Noetica's core infrastructure.
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.
You're a fit for the role of Staff Engineer, AI if your background includes:
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 work
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 versatile 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 Benefits: 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.
Eligible office location(s) for this role include one or more of the following: Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations.
📌 Staff Software Engineer Machine Learning (Toronto)
🏢 PowerToFly
📍 Toronto