Senior Back-end Software Engineer (Boulder Opal)

Join Q-CTRL, a leading quantum technology company, as a Senior Back-end Software Engineer. In this role, you will design and develop scalable backend applications in Python, work closely with researchers to translate cutting-edge research code into production-ready solutions, and partner with product, frontend, and infrastructure teams to ship integrated features. You will also have the opportunity to shape reusable architectures and promote flexibility, reuse, and scalability across multiple business cases. Enjoy a range of benefits including paid parental leave, flexible working hours, team activities, personal development and training budget, wellness budget, equity, health insurance, and 401(k) plan.

• Design, develop, and optimize scalable backend applications in Python that power real-world quantum technology.
• Create high-efficiency service-to-service communication using modern protocols and engineer for performance.
• Collaborate with researchers to translate cutting-edge research code into production-ready solutions, while sharing engineering best practices.
• If you’re excited about building robust systems, tackling complex problems, and exploring the edge where software meets quantum physics, this is your opportunity to make a real impact in one of the most exciting fields in technology today
• 5+ years of backend engineering experience with Python, Rust, C++, or similar
• Experience designing and implementing efficient algorithms, statistical models, or large-scale data pipelines
• Strong problem-solving skills and a proactive, ownership-driven mindset
• A track record of collaborating across research and engineering to solve hard technical challenges
• Hands-on experience with modern APIs (gRPC, GraphQL, REST)
• Exposure to cloud platforms (AWS, GCP, Azure) and infrastructure management
• Familiarity with Python web frameworks like Django, Flask, or FastAPI
• Proficiency with CI/CD pipelines (GitHub Actions, CircleCI) and container orchestration tools like Kubernetes
• Hands-on experience in observability tools (Prometheus, Grafana, Tempo, AWS CloudWatch) for monitoring metrics, traces, and logs
• Exposure in data orchestration and warehousing (e.g., Airflow, Snowflake, dbt, or comparable platforms)