Saga is looking for its first dedicated DevOps Engineer to own the infrastructure that keeps our platform running and AI workloads fast. You will shape how the company deploys, monitors, scales, and recovers from failure, building the systems and setting the patterns that define how the engineering team operates as we scale.
What You'll Do
- Manage and evolve Azure infrastructure including App Services, Functions, Storage Accounts, VNets, Container Registries, and Key Vault.
- Own CI/CD pipelines using GitHub Actions and ensure reliable automated deployments across development, test, and production.
- Design and maintain infrastructure for AI workloads, including containerized services and external vector databases such as Astra and Weaviate.
- Implement monitoring, logging, and alerting using Azure Monitor and related tooling.
- Build internal tooling, scripts, and workflows to reduce manual operational work.
- Own secrets management, identity, and access control using RBAC and least privilege principles.
- Optimize cost, scaling strategies, and performance across regions.
- Support incident response, root cause analysis, and long term reliability improvements.
What We're Looking For
- 3+ years of experience in DevOps, platform engineering, or cloud engineering.
- Hands on experience running production workloads on Azure.
- Strong experience with CI/CD pipelines such as GitHub Actions.
- Experience with containerization using Docker and container based deployments.
- Deep understanding of monitoring, logging, alerting, and production reliability.
- Confidence debugging performance, networking, and deployment issues.
- Security first mindset including IAM, secrets management, and access boundaries.
- Clear communication and documentation habits.
- Fluent English is required.
Nice to Have
- Experience supporting AI or data intensive workloads is a strong plus.
- Any additional European language is a plus.
Technical Stack
- Azure, GitHub Actions, Docker, Azure Monitor, Astra, Weaviate.
Team & Environment
You'll work closely with backend engineers, AI infrastructure, and compliance.
Benefits & Compensation
- Annual learning budget for certification and conferences.
- Hardware and workstation equipment budget.
- High autonomy with freedom to experiment, decide, and build your own way.
- Salary between €60.000 and €70.000 per year depending on experience.
Work Mode
This is a remote-first position within EU time zones, with optional workspaces available.
Saga is an equal opportunity employer.
