DevOps / Platform Engineer

Job Title

DevOps / Platform Engineer

Role Summary

Join the infrastructure team in Timișoara to build and operate the platform that supports the company's full-stack software framework, lab measurement systems, and cross-site data infrastructure. The role partners closely with the IT Manager and progressively supports SoC and hardware modeling teams.

Experience Level

Mid-level. The role requests 4+ years of experience in DevOps, platform, SRE or build/release engineering.

Responsibilities

Provide and maintain scalable infrastructure and automation for software development, lab measurements, and engineering compute across sites.

• Own CI/CD, build and release pipelines for the quantum software stack (Python, C/C++), including simulator and hardware-in-the-loop testing.
• Automate data flow from lab instruments into central storage with experiment tracking and traceability.
• Design and operate cross-site data infrastructure: storage, backup, retention, and access policies.
• Manage lab and engineering compute as code; run observability (logging, metrics, alerting) for internal services.
• Support SoC/hardware modeling teams with simulation compute, job scheduling, license servers and regression pipelines.
• Evaluate and implement GPU infrastructure for ML/LLM training and serving when required.
• Collaborate with IT Manager on identity, networking, security and cloud account management to align DevOps and IT.

Requirements

Must-have technical skills and experience for day-one effectiveness; preferred skills listed separately.

• 4+ years in DevOps, platform, SRE, or build/release engineering.
• Strong Linux administration and scripting (Bash, Python).
• Hands-on CI/CD experience (GitHub Actions, GitLab CI, Jenkins) and container tooling (Docker); orchestration with Kubernetes or similar.
• Infrastructure-as-code experience (Terraform, Ansible) across on-prem and cloud (AWS, Azure, or GCP).
• Solid networking and security fundamentals.
• Fluent English and ability to work with physicists, hardware and software engineers.
• Experience operating observability and management for internal services (logging, metrics, alerting).
• Nice-to-have: HPC/EDA/scientific computing (Slurm, license servers); lab automation and data acquisition (QCoDeS, PyVISA); experiment tracking (ClearML, MLflow); data engineering (object storage, HDF5/Parquet, PostgreSQL); GPU/ML infrastructure.

Education Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

About the Company

Company: Equal1

Equal1 develops quantum hardware and control systems focused on spin-qubit processors, combining hardware and software engineering to advance scalable semiconductor-based quantum computing across international R&D sites.