About the role
As a DevOps SDE-1 you'll join a small, technically deep team and help build the deployment, monitoring, and infrastructure foundations of a production AI platform from an early stage, with real ownership and room to grow.
Responsibilities:
- Manage and maintain our infrastructure on Google Cloud Platform (GCP).
- Build and improve CI/CD pipelines using GitHub Actions.
- Deploy, monitor, and troubleshoot applications running on GCP.
- Configure and manage cloud networking, IAM, service accounts, and secrets.
- Monitor application health, logs, and performance using Google Cloud Logging and Cloud Monitoring.
- Automate infrastructure provisioning and configuration wherever possible.
- Collaborate with backend engineers to improve deployment workflows and platform reliability.
- Troubleshoot production issues and participate in incident resolution.
- Help improve infrastructure security, backups, and operational best practices.
Requirements:
- 1-2 years of experience in a DevOps, Cloud, or Platform Engineering role.
- Good understanding of Linux systems and networking fundamentals.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience building or maintaining GitHub Actions CI/CD pipelines.
- Familiarity with Docker and containerised applications.
- Experience working with PostgreSQL or MySQL, including backups, user management, monitoring, and basic
- performance troubleshooting.
- Basic scripting skills using Bash or Python.
- Good understanding of Git and modern software development workflows.
- Strong troubleshooting and problem-solving skills.
- Ability to work independently in a fast-paced startup environment.
Good to have:
- Experience with Terraform or other Infrastructure as Code tools.
- Familiarity with Kubernetes (GKE) or other container orchestration platforms.
- We're planning to migrate parts of our platform to Kubernetes, so prior exposure is a plus.
- Experience configuring or managing Grafana and Prometheus.
- Familiarity with Google Cloud Monitoring and Logging.
- Exposure to AWS or Azure.
- Understanding of security best practices, IAM, and secrets management.