Tech Lead Manager, Core Product Engine (Backend)

CanadaFull-TimeManager
Salary not disclosed
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Job Details

Required Skills
AWSTypeScriptNest.jsAWS Lambda

Requirements

  • Strong experience in backend engineering and technical leadership, ideally with a background as a tech lead, architect, or startup founder.
  • Deep expertise in building and scaling distributed, asynchronous systems with complex state management.
  • Strong proficiency in TypeScript and backend frameworks such as Nest.js, along with experience in modern web architectures.
  • Experience with cloud infrastructure, particularly AWS services such as ECS, EKS, and Lambda.
  • Strong systems thinking mindset with a focus on decoupling, reliability, and failure recovery in large-scale systems.
  • Proven ability to debug complex business logic and identify edge cases in production systems.
  • Hands-on engineering approach with a willingness to spend significant time writing and reviewing code.
  • Strong leadership and communication skills, with ability to collaborate across technical and non-technical teams.
  • Experience working in high-scale consumer platforms is highly desirable.
  • Strong product intuition and ability to connect engineering decisions to user impact.

Responsibilities

  • Lead the design and evolution of backend orchestration systems that manage complex, multi-step transactions with external insurance and service providers.
  • Own and improve core automation frameworks, ensuring scalability, reliability, and fault tolerance across asynchronous workflows.
  • Drive the refactoring of legacy systems into modular, decoupled architectures with strong testing and observability standards.
  • Collaborate closely with engineering teams to define system design standards and implement robust backend engineering practices.
  • Act as a hands-on technical leader, spending significant time coding, reviewing, and solving complex backend challenges.
  • Investigate system failures, edge cases, and performance issues to continuously improve reliability and success rates.
  • Guide the transition toward AI-assisted and next-generation internal tooling to support large-scale platform growth.
  • Partner with cross-functional teams to align technical decisions with product strategy and business objectives.
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