SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Mecka AI is building the data infrastructure layer for robotics and embodied AI. The company designs and operates global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
In this role, you will own the software that enables people to operate Mecka's connected hardware and use the data it produces. You'll be responsible for service and API design, data integrity, production reliability, and compatibility across device and customer workflows. As data collection scales, these systems must remain understandable and dependable, especially when devices disconnect, transfers stop, or services fail.
Key responsibilities include:
- Own service and API design for connected hardware and data-intensive workflows, including underlying data models
- Ensure data accuracy and completeness while maintaining production service reliability across device and customer workflows
- Build telemetry, diagnostics, and operational tools that help engineers understand device and service behavior
- Develop APIs, SDKs, and command-line tools to 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 Python, Go, or TypeScript
- Depth in at least one of: (1) Service reliability—telemetry, monitoring, diagnostics, and operational tooling for distributed systems; or (2) 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
Nice-to-have:
- Experience with connected hardware or operational web applications
- Experience building public SDKs or working with large video and sensor datasets
