14 hours ago
Toronto, Canada or Santa Clara, CA, USAStaff+
Responsibilities
- Own the overall technical architecture and long-term technical vision of the platform.
- Drive architectural decisions across multiple teams and systems while balancing speed, scale, maintainability, reliability, and developer velocity.
- Identify systemic engineering problems and lead organization-wide solutions.
- Partner with engineering leads to design and review critical systems before implementation.
- Champion engineering patterns, tooling, infrastructure practices, and technology adoption.
- Mentor and develop senior and staff engineers and raise the technical bar.
- Represent engineering architecture in cross-functional discussions with product, operations, and leadership.
- Contribute to hiring decisions and help define world-class engineering standards.
Requirements
- 15+ years of software engineering experience with a record of organization-wide architectural impact.
- Expert-level Go experience and deep knowledge of distributed systems design, microservices, and large-scale service architectures.
- Mastery of Docker and Kubernetes, including production-grade large-scale deployments.
- Deep Linux/Unix expertise from the operating-system level upward.
- Ability to make thoughtful, consequential architectural decisions with long-term implications.
- Strong communication skills for explaining complex technical tradeoffs to technical and non-technical stakeholders.
- Ability to lead through influence rather than authority.
- Solid understanding of cloud-native infrastructure, CI/CD pipelines, and DevOps practices.
- Preferred experience with industrial IoT, edge computing, or real-time data pipelines such as MQTT, NATS, or OPC-UA.
- Preferred experience with Architecture Decision Records, technical writing, or open-source contributions.
- Preferred background in platform engineering, developer productivity, or DevSecOps.
- Preferred experience with multi-cloud or hybrid-cloud strategies and high-growth startups.
Benefits
- Work on production systems at the intersection of distributed systems, real-time data, edge computing, industrial operations, and AI.
- Collaborative, curious, low-ego culture with significant ownership, visibility, and impact in a growth-stage company.
About Litmus
Litmus builds an Industrial Edge Data Platform that connects PLCs, SCADA, MES, historians, and sensors to turn shop-floor data into analytics‑ready information for manufacturers. The privately held company, founded in 2014 and headquartered in Santa Clara, sells subscription software used for predictive maintenance, asset performance, and industrial AI, with ecosystem partnerships including Microsoft, Google, Dell, Oracle, and Mitsubishi.