Who is Litmus

Litmus is building the data foundation that powers industrial AI.

AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.

We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time, reduce downtime, and optimize production.

Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.

Why join Litmus

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.

About the Role

We are looking for a skilled QA Automation Engineer with strong hands-on experience in Linux, Docker, and Playwright along with languages like typescript/JavaScript/python. The ideal candidate should be able to understand business requirements and develop clear, comprehensive test cases and automate them. Experience with Kubernetes is a strong plus.

What You’ll Do

• Develop and maintain automated test scripts using Playwright, typescript/python.

• Design, write, and execute test cases based on functional and nonfunctional (technical) requirements.

• Work with Linux environments for test execution, debugging, and environment setup.

• Use Docker to create, manage, and troubleshoot test environments.

• Collaborate with developers, product owners, and QA team members to ensure high-quality releases.

• Participate in root-cause analysis and provide input on improving test coverage and automation efficiency.

What You’ll Bring

Must Haves

• Strong hands-on experience with Playwright for test automation.

• Proficiency in TypeScript/JavaScript and scripting using Python.

• Strong experience working in Linux command-line environments and debugging.

• Hands-on expertise with Docker (building images, managing containers, troubleshooting).

• Ability to analyze business, functional, and technical requirements and create comprehensive test cases.

• Experience in designing, developing, and maintaining automated test scripts.

• Good understanding of CI/CD practices and version control tools such as Git.

• Experience setting up and managing CI pipelines using Jenkins, Git, or similar tools.

• Strong analytical and problem-solving skills, including root-cause analysis.

• Knowledge and practical understanding of leveraging Generative AI in test automation.

• Good collaboration and communication skills to work effectively with crossfunctional teams.

Nice to Haves

• Experience with Kubernetes, including: Pods, Deployments, Services

• Experience working in containerized and cloud-native environments.