Skip To Main Content
backBack to Search

Senior Python/AWS Engineer

Office in Canada: Toronto
Cloud Native Development& 9 others
Looking for something else?

Find a vacancy that works for you. Send us your CV to receive a personalized offer.

Find me a job

We are seeking a hands-on engineer to support delivery within the Total Fund Management Portfolio Management team with one of our clients. This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver working solutions with minimal day-to-day oversight.

This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, communicate progress and trade-offs effectively, and manage stakeholder expectations.

The Total Fund Management team supports the enterprise-level investment structure and processes for managing the clients portfolio. The team collaborates across investment, risk, and operations groups to integrate and optimize portfolio management workflows using modern, cloud-native technologies.

The TFM PM Engineering team builds platforms and analytical capabilities that enable portfolio construction, monitoring, and decision-making at scale, supporting the long-term objectives of the fund.

Responsibilities
  • Own timelines and deliverables, proactively managing scope, dependencies, and execution risks
  • Independently frame, design, and deliver software solutions by engaging stakeholders, clarifying ambiguous requirements, and challenging assumptions
  • Build backend services and RESTful APIs aligned to those designs
  • Develop cloud-native applications (AWS preferred)
  • Implement workflow automation and data pipelines where needed
  • Contribute across the full software development lifecycle, including CI/CD
  • Ensure solutions are production-ready, including testing, documentation, and handover
  • Act as a reliable execution partner, proactively communicating progress, trade-offs, risks, and changes in expectations
Requirements
  • Prior consulting, advisory, or client-facing delivery experience
  • Proven ownership and independent delivery without close supervision
  • Strong problem-solving skills, including the ability to frame and solve problems in ambiguous situations
  • Strong communication and stakeholder management skills, including proactive expectation management
  • Demonstrated adoption of AI-assisted engineering tools and practices as part of day-to-day software delivery
  • Strong Python experience in enterprise environments
  • Experience building RESTful services / APIs
  • Strong cloud experience (AWS preferred)
  • Experience with CI/CD pipelines
  • Strong unit and integration testing practices
Nice to have
  • Workflow automation experience
  • CI/CD tooling (e.g., GitHub Actions)
  • Workflow orchestration experience
  • Terraform (infrastructure as code)
  • Capital markets experience