DevOps / Platform Engineer

Equal1 is building silicon-based quantum computers, integrating spin qubits and cryo-CMOS control electronics on standard semiconductor processes. We are looking for a DevOps / Platform Engineer to join our team in Timișoara and build infrastructure for the whole company, across all our sites, with a focus on our full-stack software framework and our measurement activities. You will work closely with our IT Manager from day one. Over time, the role will also support our SoC / hardware modeling team. MAIN DUTIES AND RESPONSIBILITIES - Own CI/CD, build and release pipelines for the quantum software stack (Python, C/C++), including simulator and hardware-in-the-loop testing. - Automate the flow of data from lab instruments and measurement setups into central storage, with experiment tracking and traceability. - Design data infrastructure that scales across sites: storage, backup, retention and access policies. - Manage lab and engineering compute as code, and run observability (logging, metrics, alerting) for internal services. - Progressively support the SoC / HW modeling team with simulation compute, job scheduling, license servers and regression pipelines. - Evaluate and, if pursued, build GPU infrastructure for ML / LLM training and serving. - Work with the IT Manager on identity, networking, security and cloud accounts, so DevOps and IT form one coherent setup. EXPERIENCE AND QUALIFICATIONS Required: - Bachelor's or Master's degree in Computer Science, Engineering or a related field. - 4+ years of experience in DevOps, platform, SRE or build/release engineering. - Strong Linux administration and scripting skills (Bash, Python). - Hands-on experience with CI/CD (GitHub Actions, GitLab CI or Jenkins), Docker and Kubernetes or similar. - Infrastructure as code (Terraform, Ansible) across on-premises and cloud (AWS, Azure or GCP). - Solid networking and security fundamentals. - Fluent English and the ability to work with physicists, hardware and software engineers. Desired: - Experience with HPC, EDA or scientific computing environments (Slurm, license servers). - Lab automation or data acquisition (QCoDeS, PyVISA) and experiment tracking (ClearML, MLflow). - Data engineering (object storage, HDF5/Parquet, PostgreSQL) or GPU / ML infrastructure. If you want to build the platform behind a quantum computer from the ground up, we'd love to hear from you.