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Mechademy is transforming predictive analytics for rotating machinery through its flagship platform, Turbomechanica, which integrates applied physics with advanced machine learning to detect equipment failures before they occur. The company serves enterprise clients in the oil and gas industry, helping them maximize uptime, extend asset life, and reduce operational risks.
As a Software Development Engineer, you will design, build, and own features on a secure, multi-tenant platform used by enterprise clients globally. Your responsibilities span four key areas:
**Platform Development**: Design and build features including authentication, access control, auditability, web and mobile experiences, and APIs that enable other systems to safely work with platform data.
**Monitoring & Workflows**: Build systems that turn detected issues into alerts, escalations, and tracked actions. Develop tooling to help engineers prioritize, investigate, and resolve issues faster while working with large volumes of time series sensor data.
**Reliability Engineering**: Add alerting, health checks, and dashboards to catch problems proactively. Own features from design through production deployment.
**Engineering Quality**: Write clean, tested code with comprehensive documentation. Participate in design and code reviews, and maintain high standards throughout the development lifecycle.
You'll work in two-week sprints using Git, GitHub, CI/CD, and ClickUp, leveraging modern developer tooling including AI coding assistants. No industrial or mechanical background is required—domain engineers will teach you how turbines and compressors fail. You'll have a squad buddy to get you productive in 30 days and own a part of the platform within 6 months. The role offers mentorship from senior engineers and domain experts with decades of equipment experience, with a clear growth path from SDE-1 to SDE-2.
**Requirements**
Must Have:
- B.Tech / B.E. in Computer Science, IT, Electronics, or related field
- 1.5+ years building and shipping production software
- Strong Python (preferred) or Java, Go, TypeScript, or similar; solid DSA and OOP fundamentals
- REST APIs with Django, FastAPI, Flask, Express, or similar
- SQL and relational databases, preferably PostgreSQL
- JavaScript or TypeScript, React preferred
- Web authentication basics (sessions, tokens, OAuth) and secure coding practices
- Git, code reviews, automated testing, and CI/CD
- Clear communication and genuine willingness to learn and take feedback
- LLM APIs (Claude and other leading models), Model Context Protocol (MCP), RAG, and agent orchestration frameworks
Good to Have:
- Open source work or side projects you can discuss in depth
- Interest or experience in applied machine learning or LLMs
- Multi-tenant SaaS systems experience
- Time series data or large datasets experience
- Mobile app development
- SSO / OIDC providers, role-based access control
- Docker, AWS, or Azure in production; logging, monitoring, and alerting tools
- Mentoring peers and writing clear design docs
