Key skills
Architecture DesignAI/ML IntegrationCloud-Native TechnologiesEdge ComputingAgile MethodologiesDevOps PracticesSoftware DevelopmentContinuous ImprovementGlobal LeadershipMetricsEfficiencyGoAIMachine LearningMLMLOpsKafkaAWSAzureGCPAgileCI/CDLeadershipMentoring
About this role
Litmus is a growth-stage software company specializing in Industrial IoT and Edge Computing. They are seeking a VP of Engineering to lead their global engineering organization, responsible for the architecture, development, and delivery of their product suite while driving high-velocity delivery and mentoring teams.
Responsibilities:
- Provide hands-on technical guidance and architectural direction for our complex edge and cloud platform
- Champion and implement highly efficient, best-in-class software development processes (Agile, CI/CD, DevOps) to ensure a culture of rapid, high-quality product delivery and iteration
- Recruit, manage, and mentor a top-tier, internationally distributed engineering team
- Spearhead the strategic vision and execution for integrating advanced AI and Machine Learning capabilities into the Litmus platform
- Collaborate closely with the CEO, Head of Product and other executive leaders to define the technology roadmap, anticipate future market needs, and ensure our engineering capabilities are a key driver of our business goals
- Implement rigorous processes and metrics to ensure the engineering organization can scale effectively and efficiently, managing budgets, resources, and timelines to achieve our ambitious goals
Requirements:
- 10+ years of software engineering experience with a clear progression from a distinguished individual contributor (IC) and coder into a senior leadership role (VP, Sr. Director, or equivalent)
- Demonstrable track record of architecting, building, and delivering complex, scalable enterprise software products that involve Edge Computing, Cloud-Native technologies (AWS/Azure/GCP), IoT, and distributed systems
- Strong, current foundation in software development and systems design
- Experience implementing and refining highly efficient development and scale-up processes in a fast-growing startup environment
- Significant experience managing, scaling, and unifying high-performing, geographically distributed engineering teams
- Tangible experience working on AI or Machine Learning initiatives and understanding how to translate data science concepts into production-ready product features
- B.S. or M.S. in Computer Science, Engineering, or a related technical field
- 10+ years building complex software; 5+ years leading multi-team orgs at Sr Director/VP level
- Former standout IC/coder who can go deep in code/design when it matters
- Built/scaled edge + cloud systems and shipped enterprise products at scale
- Demonstrated velocity improvements (CI/CD, test automation, observability, DORA)
- Shipped AI/ML features/platforms with MLOps basics in place
- Managed global teams with clear operating rhythms and written culture
- Industrial/OT experience
- Yocto/TPM
- Kafka/Redpanda
- ClickHouse/Timescale
- Ignition/OPC UA/MQTT