DevOps Engineer

October 30

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Glacier

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Artificial Intelligence • Robotics • Environmental Services

Glacier is a cutting-edge robotics company specializing in waste management solutions, particularly through advanced recycling technologies. Their innovative sorting robots are designed to efficiently identify and sort over 30 types of materials using proprietary AI technology, making recycling facilities more effective and economically viable. With a mission to reduce landfill waste and promote a circular economy, Glacier aims to decrease greenhouse gas emissions through enhanced recycling processes. Based in San Francisco, Glacier is dedicated to making a significant impact on climate change and waste management.

11 - 50 employees

🤖 Artificial Intelligence

📋 Description

• 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 within the production environment (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

🎯 Requirements

• 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 as you will be working with a US based team (B2 or higher).

🏖️ Benefits

• Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste. • Remote Flexibility – Work from anywhere in Latin America with a collaborative, distributed team. • Fast-Paced Growth – Help scale and optimize the infrastructure powering a cutting-edge robotics fleet in the recycling industry. • Technical Impact – Build and own critical infrastructure that directly enables our robots to divert tons of waste from landfills.