Senior Software Engineer, Device & Data Platform

About the role

You'll own the software that lets people operate Mecka's connected hardware and use the data it produces. That includes services and operational tools for our device teams, and APIs and SDKs for customers building with our hardware and data. You'll be responsible for service and API design, data integrity, production reliability, and compatibility across device and customer workflows. As data collection grows, these systems need to stay understandable and dependable, especially when devices disconnect, transfers stop, or services fail.

Responsibilities

• Own service and API design for connected hardware and data-intensive workflows, including the data models behind them.
• Keep data accurate and complete, and keep production services reliable, across device and customer workflows.
• Build telemetry, diagnostics, and operational tools that help engineers understand how devices and services are behaving.
• Develop APIs, SDKs, and command-line tools that help hardware and data customers integrate Mecka into their workflows.
• Implement asynchronous workflows that handle retries, duplicate events, and interrupted transfers predictably.
• Test complete user workflows end to end, and maintain documentation, monitoring, and backward compatibility as the platform evolves.

Requirements

Must-have:

• 5+ years of software engineering experience, including strong backend programming and operating production services in a language such as Python, Go, or TypeScript.
• Depth in at least one of these areas:
  • Service reliability: telemetry, monitoring, diagnostics, and operational tooling for distributed systems.
  • Developer experience: APIs, SDKs, command-line tools, documentation, and useful examples.
  • Experience designing APIs, data schemas, and databases, with practical knowledge of SQL and query performance.
  • Understanding of how distributed systems fail, including retries, duplicate events, interrupted transfers, and intermittent connectivity.
  • Knowledge of authentication, authorization, automated testing, versioning, and release practices.
  • Ability to debug across services, client software, and device interfaces, and to explain system behavior clearly.

Qualifications

Nice-to-have:

• Experience with connected hardware or operational web applications.
• Experience building public SDKs or working with large video and sensor datasets.

Pay

Compensation Range: CA$180K - CA$210K