Litmus
Litmus
Litmus builds industrial data infrastructure for manufacturers using AI and analytics across plant operations. Its SaaS platform connects fragmented machine and operational systems—including PLCs, SCADA, historians, and MES—and turns their data into a standardized, governed foundation. The product combines industrial connectivity, a unified namespace, edge software for running applications near machines, centralized edge management, and governance tools for multi-site deployments, including offline and air-gapped environments. Litmus supports manufacturing use cases such as predictive maintenance, energy optimization, anomaly detection, and digital twins, while integrating with cloud platforms and enterprise analytics systems. The company operates at the intersection of manufacturing, artificial intelligence, and SaaS, with a team of 51–200 employees and hiring opportunities focused on advancing industrial data and AI adoption.

Lead Architect / Principal Engineer – Santa Clara Hybrid

Lead the architecture of Litmus’s industrial AI data and edge computing platform. Shape distributed systems, cloud-native infrastructure, and engineering practices across the organization.

Description

  • Set the platform’s overarching technical architecture and define its long-term direction
  • Make architecture choices that balance delivery speed, scalability, and maintainability
  • Guide architectural decisions spanning multiple teams and systems
  • Diagnose systemic engineering challenges and lead solutions across the organization
  • Collaborate with engineering leads to design and assess critical systems
  • Establish shared engineering patterns, tools, and infrastructure practices
  • Assess emerging technologies and steer their adoption
  • Coach and support senior and staff engineers
  • Represent engineering architecture in conversations with product, operations, and leadership
  • Help inform hiring decisions and establish high engineering standards

Requirements

  • At least 15 years of software engineering experience with organization-wide architectural influence
  • Expert proficiency in Go
  • Extensive experience designing distributed systems, microservices, and large-scale service architectures
  • Advanced Docker and Kubernetes expertise, including production deployments at scale
  • Deep knowledge of Linux and Unix systems
  • Sound judgment when making difficult-to-reverse architecture decisions
  • Strong communication skills for explaining complex technical tradeoffs to technical and non-technical audiences
  • Demonstrated ability to lead through influence rather than formal authority
  • Knowledge of cloud-native infrastructure, CI/CD, and DevOps practices
  • Experience with industrial IoT, edge computing, or real-time data pipelines is a plus
  • Published architecture decision records, technical writing, or open-source contributions are a plus
  • Experience in platform engineering, developer productivity, or DevSecOps is a plus
  • Experience with multicloud or hybrid-cloud strategies is a plus
  • Experience in a high-growth startup is a plus

Benefits

  • Meaningful ownership and visibility with the opportunity to influence the product and company
  • A collaborative, curious, and low-ego working culture
  • The chance to build systems used by real customers in production
  • Mentorship and professional development alongside experienced operators, engineers, and leaders

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