A Lead Software Engineer

2 weeks ago

Old Toronto, Canada Refinitiv Full time
p>Are you looking for an amazing opportunity to grow your Product Engineering career in a company with a mission to become the world’s #1 content-driven AI tech company?

We are seeking a talented, self-driven and highly motivated Lead Software Engineer to join the Corporates Tax and Trade team in Toronto. In this role, you will develop scalable and innovative solutions using AI and Machine Learning on a rapidly growing line of products.

About the Role

In this opportunity as Lead Software Engineer, you will:

  1. Lead and drive the technical vision and execution of initiatives to introduce AI-driven features in our products.
  2. Lead the development and deployment of AI models, prioritizing efficiency, scalability, and maintainability.
  3. Take ownership of the technical strategy, ensuring the team uses the best tools, technologies, and methodologies.
  4. Participate in project/work planning sessions to analyze and understand requirements to the level of being able to contribute to their creation, in collaboration with capability/product and/or business owners.
  5. Develop and integrate applications per specification and translate technical requirements into application code and modules.
  6. Approach development with a DevOps and continuous integration mindset.
  7. Ensure consistency with cloud architectural guiding principles for assigned projects.
  8. Assist in identifying and correcting software performance bottlenecks.
  9. Work in a highly collaborative and dynamic agile team environment with multiple levels of technology staff across various geographical locations.
  10. Providing technical expertise and peer code reviews to other team members and assisting team leads and project managers in work breakdown and story planning.
About You

You’re a fit for the role of Lead Software Engineer if your background includes:

  1. 7-10+ years of experience in software development.
  2. Proven track record in the development of solutions using AI and Machine Learning.
  3. Demonstrated ability to mentor and guide junior engineers.
  4. Strong understanding of software development principles, including design patterns, algorithms, and data structures.
  5. Experience with software development methodologies: Agile, Scrum, or similar.
  6. Knowledge of version control systems: li>
  7. Experience with testing and debugging tools.
    1. Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).Accessibility

      As a global business, we rely on diversity of culture and thought to deliver on our goals.

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