Senior Backend Software Engineer, PsiQuantum

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
• 8+ years of experience in writing and maintaining production software with a bachelors degree or 5+ years of experience with a masters
• Proven experience building production-grade backend services and APIs, ideally in a high-performance or data-intensive context
• Strong proficiency in at least one backend programming language (e.g., Python, Go, C++), with a solid understanding of RESTful or microservices architectures
• Hands-on background in containerization and orchestration (e.g., Docker, Kubernetes), including deployment strategies and load balancing
• Experience with job schedulers (e.g., Slurm, LSF, or PBS) or distributed computing frameworks on HPC clusters or cloud-based systems is highly valuable
• Familiarity with workflow orchestration tools such as Prefect, Airflow, or similar
• Excellent communication and collaboration skills, with the ability to translate complex technical requirements into practical backend solutions

Desirable

• PsiQuantum’s Quantum Applications Software Team is dedicated to creating a software environment where quantum application developers can discover, build, utilize, optimize, and visualize large-scale quantum algorithms for classically intractable problems
• As we continue to scale, we’re building out a QA function that bridges classical software QA best practices with cutting-edge quantum software development
• We are seeking a Senior Backend Software Engineer to design, build, and maintain automated services and workflows supporting critical, data-intensive applications in high-performance environments
• In this hands-on role, you will collaborate with cross-functional teams—combining software engineering rigor with scientific or computational insights—to create robust backend systems
• You’ll ensure these platforms operate efficiently, scale seamlessly, and provide consistent performance for demanding workloads
• Develop and own essential backend services and APIs, facilitating smooth end-to-end workflows for scientific or computational processes
• Implement scalable job orchestration, coordinating tasks across HPC clusters, GPU resources, or other distributed systems
• Optimize system performance, leveraging monitoring and automation tools to identify bottlenecks and streamline critical workflows
• Collaborate with cross-functional teams (e.g., Data Engineering, QA, Product) to drive a cohesive architecture aligned with compliance, scalability, and availability targets
• Design and maintain backend architectures that integrate with various data pipelines, APIs, and HPC workflows
• Implement workflow engines and scheduling frameworks (e.g., Airflow, Prefect) to automate and monitor multi-step processes at scale
• Ensure reliability and high availability, troubleshooting complex issues across distributed systems, containers, and orchestration platforms
• Collaborate with domain experts to incorporate specialized computational methods or libraries, adapting services to demanding scientific or technical workloads
• Document and streamline processes, maintaining clear and reproducible code for cross-team collaboration and long-term sustainability
• Contribute to continuous improvement by championing best practices for DevOps, performance tuning, and system observability

Total funding: $1.6bn

Quantum computing will change the world more than any other imminent technological development, and PsiQuantum sits at the forefront of the charge to build the first quantum computer that will actually work.