Senior Backend Engineer (Remote/Hybrid) - IoT APIs

Trackunit

London

Hybrid

CAD 90,000 - 115,000

Full time

14 days+
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Job summary

Trackunit, based in London, Ontario, is seeking an experienced Backend Software Developer to join a 200+ strong engineering team. You will build and evolve backend services, APIs, and data pipelines for a SaaS IoT platform used by thousands daily.

We offer hybrid work, with regular presence at the London hub. You will collaborate across teams, mentor peers, and drive architectural decisions to scale the platform while adopting AI-driven improvements.

Qualifications

  • Bachelor's degree in engineering or computer science.
  • Experience developing backend services and APIs.
  • Proficiency with Java and Spring Boot.
  • Experience with REST APIs and GraphQL.

Responsibilities

  • Develop, launch, and improve backend features solving real customer problems with multiple deployments daily.
  • Collaborate with Product Managers and engineers to solve challenges.
  • Own core features, platform improvements, and new product launches.
  • Scale backend platform and architecture to meet growing needs.
  • Participate in technical design and architecture discussions.
  • Conduct code reviews and provide constructive feedback.
  • Mentor other backend developers and share knowledge.
  • Showcase work through demos and knowledge-sharing sessions.
  • Stay updated on backend trends and proactively improve stack and processes.

Skills

REST APIs
Spring Boot
GraphQL
Java
Kafka
Kinesis
Flink
GitHub
CI/CD

Education

Engineering degree
Computer Science degree

Tools

Kafka
Kinesis
Flink
GitHub

Job description

Trackunit, based in London, Ontario, is seeking an experienced Backend Software Developer to join a 200+ strong engineering team. You will build and evolve backend services, APIs, and data pipelines for a SaaS IoT platform used by thousands daily.

We offer hybrid work, with regular presence at the London hub. You will collaborate across teams, mentor peers, and drive architectural decisions to scale the platform while adopting AI-driven improvements.

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