Platform Operations Engineer
TampereCompetitive0 applicants
About this role
We are looking for new professionals to join Pareto's journey
Pareto is a growing software company built around experienced professionals and a sharp focus on what delivers results.
We currently have over 50 senior software professionals on our team, and we’re hiring more this year. We’re looking for an engineer who wants to own the operational backbone of a real AI platform used in production client environments.
Responsibilities
- We build and maintain an in-house agentic AI platform based on MCP and agent patterns. We use it in client projects and deliver it as a supported solution.
- This role owns the operational side of that platform: making it reliable, deployable, and maintainable across multiple client environments running on Azure. The focus is not on building new features. It’s on making sure everything runs, scales, and can be deployed repeatedly without friction.
- The role sits between development and infrastructure. You’ll work closely with developers and data engineers, but your priority is keeping the platform stable and easy to operate.
- Improve and maintain the infrastructure behind our AI/agent platform. Make the platform easy to deploy and bootstrap into new client environments.
- Build and maintain deployment pipelines and environment configurations. Support project teams in setting up the platform for new clients.
- Act as the first responder for platform issues: debugging, fixing, stabilizing. Improve observability through logging, monitoring, tracing, and alerting.
- Help standardize patterns for configuration, secrets management, and environment setup.
- What we expect
- A strong DevOps mindset. You care about reliability, repeatability, and operability.
- Hands-on experience with Azure is essential: compute, networking, identity, container services, and deployment tooling. Experience building and maintaining CI/CD pipelines.
- Familiarity with container-based workloads, including Docker and container orchestration concepts. Experience with monitoring an