Glacier is looking for a DevOps Engineer to build and maintain the software infrastructure that powers our robotics fleet. You will ensure systems are reliable, scalable, and secure as we deploy robots across recycling facilities.

What You'll Do

Design, build, and maintain AWS cloud infrastructure supporting our robotics fleet and data pipelines
Develop and implement CI/CD pipelines to streamline deployment processes for both cloud services and edge devices
Monitor system performance and reliability; implement observability tools and respond to incidents
Automate infrastructure provisioning and configuration management using Infrastructure as Code (IaC)
Manage and operationalize Machine Learning pipelines for computer vision models, including deployment, monitoring, and troubleshooting (MLOps)
Collaborate with software engineers to optimize application performance and deployment strategies
Manage databases, serverless functions, and other cloud services at scale
Ensure security best practices across all infrastructure and deployment processes

What We're Looking For

3+ years of professional experience in DevOps, CloudOps, or Site Reliability Engineering
3+ years of work experience with Python, Ubuntu/Linux, Git
3+ years working through the command line for both local and remote systems
Strong hands-on experience with AWS services (EC2, Lambda, RDS, S3, CloudWatch, etc.)
Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation, or similar)
Practical experience with MLOps principles, including deploying, monitoring, and maintaining production computer vision or similar models
Experience with containerization and orchestration (Docker, Kubernetes)
Experience managing and scaling databases (Postgres, DynamoDB, Elasticsearch, or similar)
English Fluency (B2 or higher) as you will be working with a US based team

Nice to Have

Experience with edge computing or IoT device management
Familiarity with robotics or hardware systems
Experience with monitoring and observability tools (Prometheus, Grafana, Kibana, or similar)
Networking debugging
Experience working with US companies or clients is a plus

Technical Stack

Languages & Systems: Python, Ubuntu/Linux
Tools: Git, Docker, Kubernetes
Cloud & Infrastructure: AWS (EC2, Lambda, RDS, S3, CloudWatch), CI/CD (GitHub Actions, Jenkins), Infrastructure as Code (Terraform, CloudFormation)
Data & ML: Postgres, DynamoDB, Elasticsearch, MLOps