Senior DevOps Engineer

10Beauty, located in Burlington, MA, is building THE Intelligent Beauty company. We are about to launch our first product; a robotically automated 5-step manicure machine! Our diverse 45-person and growing team is built around individuals with a consistently demonstrated track record of introducing successful new-to-the-world products. Come join the company who will put 'beauty robotics' on the map!

Introduction:

We are seeking a Senior DevOps Engineer to be a foundational member of our engineering team at 10Beauty. You 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.

What You'll Do:

• 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 DevOps and MLOps strategy

What You Have:

• 5-8 years of professional experience in a DevOps, 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, GitLab CI, GitHub 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

Nice to haves:

• 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

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.  

Thank you for considering 10Beauty!