
Senior Engineer, Risk, Risk & Total Fund Management Technology
- Toronto, ON
- Permanent
- Full-time
- Stimulating work in a fast-paced and intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Diverse and inspiring colleagues and approachable leaders
- A hybrid-flexible work environment with an emphasis on in-person collaboration
- A culture rooted in principles of integrity, partnership, and high performance
- An organization with an important social purpose that positively impacts lives
- Design, build, test and support medium complexity technology solutions or enhancements with independence, to enable business capabilities, in an Agile environment that includes business and T&D partner teams.
- Apply advanced understanding of engineering best practices and drive continuous improvement across the team through coaching and influencing
- Demonstrate a sufficient understanding of the technical landscape and the business capabilities it supports to apply critical thought to business requests
- Foster and enable agility and innovation through experimentation and early feedback ensuring responsiveness to evolving business needs
- Succinctly frame problems, engage appropriately with colleagues to think deeply about broad problems and gain buy-in on well-reasoned recommendations
- Facilitate root-cause-analysis of operational incidents impacting the products you support
- Demonstrate ability to independently research and master new complex technologies
- Adhere to Agile SDLC and execute related duties as required.
- Foster collaboration and mentorship promoting a culture of feedback, learning and professional growth
- Maintain strong relationships with business partners, peer IT teams and vendor partners.
- Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science).
- 5+ years of relevant experience.
- Extensive experience working with various programming languages (Python, C++, Java, etc.)
- Professional programming experience in AWS Data & Analytics context (EMR, Glue, Lakeformation, Airflow, PySpark preferred
- Experience with software development concepts, including version control, testing methodologies, and agile development practices
- Ability to write clean, readable, and well-documented code, while paying attention to details and adhering to coding standards
We are sorry but this recruiter does not accept applications from abroad.