Contribute to the development, deployment, and maintenance of data and AI products that support positive social impact around the world.

Responsibilities

• Cloud infrastructure and operations. Maintain and improve our AWS environments using infrastructure-as-code. This includes VPC configuration, IAM policies, secrets management, logging, backups, and cost controls.
• Application development. Write frontend and backend production code for shared platform services and internal tooling. Our stack includes primarily Go, Python, JavaScript, and React.
• CI/CD and automation. Contribute to deployment pipelines using GitHub Actions. Automate testing, container builds, releases, and operational workflows like environment provisioning and dependency updates.
• Containerization and platform support. Support our Docker-based deployment platform, including build workflows, deployment strategies, and autoscaling.
• Observability and incident response. Implement and maintain metrics, centralized logging, alerting, and dashboards. Participate in incident response under the direction of senior engineers.
• Developer experience. Build and maintain internal documentation, service templates, and local development tooling that help the team move faster and debug with confidence.
• Partner collaboration. Work directly with nonprofit partners to support their adoption of our tools. You will translate technical concepts clearly, listen to how partners experience what we build, and bring that feedback into the product cycle. This is recurring, meaningful work, not occasional.
• Participate in stretch assignments and special projects in service of our broader strategic priorities.

Skillset

• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field is preferred. Equivalent practical experience may be considered; however, candidates with formal academic training in software or infrastructure-related disciplines are strongly encouraged.
• Development Experience: 1-3 years of experience in a DevOps, infrastructure, or full-stack engineering role.
• Programming: Working proficiency in Python or Go is strongly preferred. Experience contributing to production codebases is preferred.
• Cloud experience: Hands-on experience deploying or supporting production systems on AWS or a comparable cloud platform.
• Pipeline experience: Experience building and maintaining CI/CD pipelines using modern tooling (e.g., GitHub Actions, etc), source control (GitHub), issue tracking (Jira) and best practices.
• Infrastructure: Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required. Exposure to containerization tools (e.g., Docker) and Infrastructure as Code (e.g., Terraform) is also expected.
• Team Collaboration & Communication: Ability to work effectively in a small, virtual, fast-moving team. Communicate clearly in writing and conversation, document work thoughtfully, and demonstrate growing technical judgment when balancing short-term delivery needs with longer-term system considerations.

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