Beauty: Senior DevOps Engineer

Headquarters: Remote

URL:

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Beauty is a robotics startup based in Burlington, MA. We have raised $50M+ from some of the leading venture and celebrity investors in the country to build the world’s first fully autonomous manicure machine. We have pre-sold our first 1,000 machines to some of the most iconic brands in America, including Ulta Beauty and Nordstrom.

As of November 2025, we have launched our first robot at Ulta Beauty in Everett. We are a fast growing 50+ person organization with deep robotics experience. Come join the company who will put ‘beauty robotics’ on the map!

We are seeking a Senior Dev Ops Engineer to be a foundational member of our engineering team  will be instrumental in building, automating, and maintaining the infrastructure that supports our robotic manicure machines. Furthermore, this is a unique opportunity to apply your expertise across MLOps and hardware‑centric environments to solve challenges that no one has tackled before. This position is remote eligible.

• Build & Maintain CI/CD Pipelines: Architect and manage robust CI/CD pipelines for both our embedded software and our machine learning models, ensuring seamless integration, testing, and deployment
• Fleet Management & OTA Updates: Develop and maintain the infrastructure for secure and scalable Over-the-Air (OTA) firmware updates to our fleet of robotic machines deployed in the field
• Infrastructure as Code (IaC): Manage and provision our cloud infrastructure (AWS), ensuring it is repeatable, scalable, and secure
• Containerization & Orchestration: Deploy and manage containerized applications using Docker and Kubernetes
• Monitoring & Alerting: Implement and maintain comprehensive monitoring, logging, and alerting systems to ensure the health, performance, and reliability of our entire stack, from the cloud to the robotic machines themselves
• Collaboration & Planning: Work closely with our ML, embedded, and software engineering teams helping to define our long‑term Dev Ops and MLOps strategy

• 5-8 years of professional experience in a Dev Ops, SRE, or similar role
• Hardware/robotics experience: You have experience with the unique challenges of embedded systems, managing OTA updates, and deploying software to physical devices in the field
• Strong proficiency with cloud platforms: AWS, GCP, or Azure (AWS preferred)
• Expertise with CI/CD tools: Experience with Jenkins, Git Lab CI, Git Hub Actions or similar platforms
• Proficiency in containerization: Strong skills with Docker and Kubernetes
• Hands‑on experience with IaC: Terraform is a plus
• Excellent scripting skills: Python or Bash
• Experience with monitoring tools: Prometheus, Grafana, Datadog, or similar
• A proactive, problem‑solving mindset and a passion for building scalable, reliable systems

• MLOps: Automate the end‑to‑end ML lifecycle, including model versioning, training pipeline automation, model serving, and continuous monitoring of model performance in production
• MLOps expertise: A proven track record of building and managing pipelines for the deployment and monitoring of machine learning models in a production environment

Salary Range

$150,000 – $175,000 USD

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Beauty, we consider a wide‑range of factors when determining compensation, based on individual qualifications, skills, and experience. Equity and benefits are included for all full‑time employees. If you believe you can contribute to our team, we invite you to apply. We appreciate diversity and welcome those who can bring fresh perspectives and skills to our team.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

To apply: