5 months ago
Helsinki, FinlandSenior
Responsibilities
- Build and maintain CI/CD pipelines, cloud infrastructure, and ML operations workflows.
- Own and operate production infrastructure at scale across engineering and research environments.
- Debug Kubernetes networking, handle node evictions, and optimize Docker containers for production.
- Design reliable multi-environment infrastructure and delivery pipelines using Terraform or similar tools.
- Develop Python and Bash automation and internal tooling.
- Use Prometheus, Grafana, and OpenTelemetry to diagnose and resolve production outages.
- Support ML pipelines, model deployment, platform development, and client-facing AI projects.
Requirements
- At least 5 years of production experience in DevOps, Platform Engineering, or MLOps.
- Deep knowledge of Kubernetes and Docker.
- Production-grade infrastructure-as-code and CI/CD experience, including Terraform or a similar tool.
- Strong Python and Bash scripting skills.
- Practical observability experience with Prometheus, Grafana, and OpenTelemetry.
- Experience with ML pipelines and model deployment, or strong senior engineering experience with a willingness to develop deeply in MLOps.
- Ability to work effectively in ambiguous, fast-moving environments.
- Preferred experience includes quantum or scientific computing, high-performance computing, enterprise SaaS platform development, or GPU workload orchestration.
Tech Stack
Categories
About Qutwo
Qutwo builds enterprise AI and quantum-computing solutions, combining its Qutwo OS, ML pipelines for neural network compression, and security-focused SaaS services for industrial optimization, simulation, and analytics. The company partners with enterprises to develop classical, hybrid, and quantum systems and offers software plus applied research engagements. It is privately held, Europe-based, and was co-founded by pioneers behind IQM and Silo AI, with backing from founders of Skype, Hugging Face, Quantinuum, and Supercell.