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