DevOps Engineer

Motia is an open-source, event-driven framework that orchestrates multi-language “Steps” into dynamic Flows. Our Workbench helps developers visualize, debug, and refine these flows, while MotiaHub is our enterprise production platform—enabling one-command deployments, advanced observability, environment management, and versioning.

We’re a driven startup, setting out to unify everything from business process automation to AI-based agent flows under a single, event-driven architecture. We value:

• Ownership & Accountability – Inspired by authors like Jocko Willink, we prioritize individuals who take genuine ownership of their work and see tasks through—even when it’s not easy.
• Embracing Challenges – Echoing JFK, We choose to do this, not because it is easy, but because it is hard, because that goal will serve to organize and measure the best of our energies and skills.
• Pragmatic Decision Making – As a fast-moving company, we make smart tradeoffs while staying focused on delivering robust, high-impact solutions.

Role Overview

You’ll split your time between Open Source Core + Workbench and MotiaHub’s production-facing features and DevOps architecture:

• Open Source, Workbench & MotiaHub
• Strengthen our Node/TypeScript engine, ensuring seamless cross-language “Step” integrations (Python, Ruby, etc.).
• Enhance the React + Vite-based Workbench UI for better visualization, debugging, and the upcoming AI/agent workflows.
• MotiaHub, DevOps & Production
• Web Application front and back end for hosting, deployment, observability, etc
• Drive orchestration (AWS, Kubernetes, or similar).
• Improve CI/CD pipelines, implement environment versioning.
• Collaborate on advanced environment strategies—multi-tenant staging, ephemeral test setups, secure multi-environment deployments, and real-time cluster management.

A Typical Week Could Include:

• Core: Open Source Framework: Implement a new cross-runtime “Step” runner so devs can incorporate AI logic seamlessly.
• Workbench: Improve open source React-based flow visualizations—e.g., better node grouping and advanced logging insights.
• Hub: Design secure, zero-downtime deployment flows for enterprise customers.
• DevOps: Tune automated QA checks, add new performance instrumentation, and ensure container updates integrate smoothly with minimal downtime.

What We’re Looking For

Professional Experience:

• Minimum of 5 years in software development, with a focus on full-stack development and DevOps practices.
• Proven experience in managing Linux-based infrastructures and Linux/Unix administration.
• Demonstrated experience in leading software engineering teams and managing complex projects.
• Technical Skills:
• Proficiency in Node.js and TypeScript, with experience in integrating multiple programming languages such as Python and Ruby.
• Strong front-end development skills using React and Vite, including experience in building intuitive user interfaces.
• Expertise in cloud services, particularly AWS, including Infrastructure as Code (IaC) tools like CloudFormation and Terraform.
• Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Proficiency in building and maintaining CI/CD pipelines, with tools like Jenkins, GitLab CI, or CircleCI.
• Strong scripting skills in languages such as Python, Perl, or Ruby for automation purposes.

Open-Source Contributions:

• Active participation in open-source projects, with a demonstrable history of contributions.
• Experience in collaborating within open-source communities, including code submissions, issue tracking, and peer reviews.
• Familiarity with open-source development workflows and tools, such as Git and GitHub.

AI-First Development:

• Experience in integrating AI capabilities into software applications from the ground up, ensuring intelligent and adaptable solutions.
• Understanding of machine learning models and their application in enhancing software functionality.
• Ability to design systems that leverage AI to improve user experience and operational efficiency.

AI-Driven Workflow Automation:

• Proven experience in implementing AI-powered workflow automation tools to streamline business processes.
• Familiarity with AI workflow automation platforms such as Zapier, Make, or Microsoft Power Automate.
• Ability to design and deploy AI-driven solutions that enhance productivity and reduce manual intervention.

DevOps Expertise:

• Experience in designing and implementing secure automation solutions for development, testing, and production environments.
• Ability to manage and maintain system architecture, ensuring scalability and reliability.
• Familiarity with monitoring and observability tools to ensure system performance and availability.

Soft Skills:

• High Ownership: You approach tasks like you’re the owner. You proactively solve problems and don’t pass the buck.
• Hard Work & Drive: You thrive when challenges are steep, whether it’s scaling an AI-based system or orchestrating complex containers in production.
• Pragmatism: You know when to refactor for the long haul and when to be mindful of immediate milestones—especially in a startup environment.

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