Lead Architect / Principal Engineer

Build the infrastructure that makes industrial AI possible

AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.

Work on problems where software meets the real world

Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.

Have real impact, fast

You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.

Join a high-performance team

We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.

Our culture

At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.

We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.

What You'll Do

• Own the overall technical architecture of the platform — set the long-term vision and make the hard calls that balance speed, scale, and maintainability.

• Drive architectural decisions across multiple teams and systems, ensuring consistency, reliability, and developer velocity.

• Identify systemic engineering problems early and lead solutions that create org-wide leverage.

• Partner with engineering leads to design and review critical systems before they're built — not after.

• Champion and standardize engineering patterns, tooling, and infrastructure best practices across the organization.

• Evaluate emerging technologies with clear-eyed judgment and guide adoption where it genuinely moves the needle.

• Mentor and develop senior and staff engineers — raise the technical bar and help your colleagues do their best work.

• Represent engineering architecture in cross-functional discussions with product, operations, and leadership.

• Contribute to hiring decisions and help shape what world-class engineering looks like at our company.

What We're Looking For

• 15+ years of software engineering experience, with a clear track record of org-wide architectural impact.

• Expert-level Go and deep knowledge of distributed systems design, microservices, and large-scale service architectures.

• Mastery of Docker and Kubernetes — you've designed production-grade, large-scale deployments and know where things break.

• Deep Linux/Unix expertise — you understand the systems your architecture runs on, from the OS level up.

• Proven ability to make irreversible architectural decisions thoughtfully, with an eye on long-term consequences.

• Strong communicator — you can make complex technical tradeoffs clear to both engineers and non-technical stakeholders.

• Experience leading through influence, not authority — you bring people along rather than dictating direction.

• Solid understanding of cloud-native infrastructure, CI/CD pipelines, and DevOps best practices.

Nice to Have

◦ Experience with industrial IoT, edge computing, or real-time data pipelines (MQTT, NATS, OPC-UA).

◦ Published Architecture Decision Records (ADRs), technical writing, or open source contributions.

◦ Background in platform engineering, developer productivity, or DevSecOps.

◦ Experience with multi-cloud or hybrid cloud strategies.

◦ Time at a high-growth startup — you've felt the pressure of scaling fast and learned from it.