Key skills
AWSCloudDockerJenkinsKubernetesLinuxPythonTerraformBashMLGitHub ActionsHelmCloudFormationGitHubGitLabCI/CD
About this role
Role Overview
- Design, build, and maintain cloud infrastructure on AWS to support Chloris's production applications and internal tooling for data scientists and analysts
- Develop and manage CI/CD pipelines to automate the path from development to production for containerized applications
- Manage and optimize Kubernetes clusters powering distributed computing workloads, including our Dask-based geospatial processing system
- Support data science and engineering teams by building and maintaining infrastructure for ML training workflows, data pipelines, and large-scale geospatial processing
- Implement and manage monitoring, logging, and alerting systems to ensure reliability and performance across production services
- Improve developer experience by streamlining workflows, reducing friction in local and cloud development environments, and maintaining clear infrastructure documentation
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent
- 3
- 5 years of professional software engineering experience
- 2+ years of experience deploying and managing infrastructure in an AWS cloud environment
- Experience working with a container orchestration service (Kubernetes preferred)
- Experience with IaC tools such as Terraform, Cloudformation, Helm
- Experience building and managing CICD pipelines (GitHub Actions, GitLab CICD, Jenkins)
- Experience with Linux system administration
- Proficiency in Python, Bash, and Docker
Tech Stack
- AWS
- Cloud
- Docker
- Jenkins
- Kubernetes
- Linux
- Python
- Terraform
Benefits
- Flexible work arrangements
- Hybrid work environment