Senior Back-end Software Engineer (Boulder Opal)

• As a Senior Back-end Engineer on the Boulder Opal Scale Up team, you’ll be at the forefront of building the software backbone that powers the future of quantum technology
• You’ll work side by side with brilliant engineers and researchers, designing and delivering scalable, high-performance systems that bring groundbreaking science into the real world
• Build impactful systems: Design, develop, and optimize scalable backend applications in Python that power real-world quantum technology
• Engineer for performance: Create high-efficiency service-to-service communication using modern protocols
• Bridge science and engineering: Work hand-in-hand with researchers to translate cutting-edge research code into production-ready solutions, while sharing engineering best practices
• Deliver end-to-end solutions: Partner with product, frontend, and infrastructure teams to ship integrated features used across Q-CTRL’s products
• Shape reusable architectures: Develop product features that promote flexibility, reuse, and scalability across multiple business cases

Benefits

• Paid parental leave support
• Flexible working hours
• Team activities and lunches
• Personal development and training budget
• Employee Assistance Program
• Participation in community and STEM initiatives
• Wellness budget
• Equity
• Health insurance and 401(k) Plan- 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
• Experience designing and implementing efficient algorithms, statistical models, or large-scale data pipelines
• Strong problem-solving skills and a proactive, ownership-driven mindset
• 5+ years of backend engineering experience with Python, Rust, C++, or similar
• 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)