Introduction

The Quantum Systems Backend Team is a driving force behind some of the most exciting advancements in quantum computing. We build and deploy services that power the orchestration and execution of jobs on advanced quantum nodes, managing dynamic resource allocation and ensuring seamless integration with the IBM Quantum platform.

Our work is critical to transforming complex quantum concepts into scalable, real-world solutions that are shaping the future of computing. Joining this team as a Software Engineer means stepping into a high-impact role where you’ll develop and optimize services running on both cloud and on-premise infrastructure.

You’ll be responsible for designing robust systems, improving performance, enhancing fault tolerance, and driving the productization of critical services. Through collaborative programming, design sessions, and rigorous code reviews, you’ll contribute to building scalable and resilient platforms that enable quantum workloads to run efficiently and reliably.

This role is for those who crave technical challenges and thrive in environments where innovation is the norm. You’ll work on cutting-edge problems, from orchestrating complex job execution pipelines to dynamically managing resources for maximum efficiency. The systems you help build will directly impact real-world applications in fields like cryptography, AI, and scientific research, unlocking new possibilities in optimization and materials discovery.

Imagine being at the center of it all: developing production-ready services that fuel quantum breakthroughs, collaborating with visionary experts who shape passion and ambition, and constantly pushing the limits of engineering innovation. If you’re inspired by the challenge of creating technologies that spark the next revolution in computing, this is the opportunity to make an impact that will resonate across industries and help define the future of quantum computing.

Your role and responsibilities

Develop and maintain high-performance, scalable, and reliable backend services.

• Design APIs and microservices that enable seamless interaction between users,

quantum processors and classical computing resources.

• Optimize distributed systems improving the performance, reliability and

scalability of quantum computing workloads.

• Collaborate with cross-functional teams including quantum researchers,

frontend developers and DevOps engineers to deliver robust solutions.

• Implement security best practices to ensure secure execution and access control

for quantum workloads.

• Shape and elevate a top-tier engineering team through leadership.

• Innovate solutions that are pivotal to the quantum computing community and

scientific research.

• Mentor and support engineers in building and maintaining microservices and

plugins, fostering growth and technical excellence.

Required technical and professional expertise

'- Proficiency in languages like Golang, C, Rust or Python with a track record ofbuilding production-level backend applications.

• Strong background and proficiency in designing, developing, and maintaining high-quality, reliable web services, RESTful APIs or gRPC for service communication.

• Experience working with container orchestration technologies (e.g., Kubernetes, Docker, OpenShift)

• Solid experience working with database technologies (e.g., SQL, Postgres).

• Proven experience coaching and mentoring software engineering teams to achieve their best performance.

• Exceptional communication skills and the ability to collaborate effectively with

• cross-functional teams and stakeholders across time-zones.

Preferred technical and professional experience

Experience with monitoring and alerting systems such as Grafana, Sysdig, or similar tools, ensuring system reliability and proactive issue resolution.

• Familiarity with event-driven architectures to build scalable, loosely coupled systems.

• Hands-on experience working with CI/CD pipelines, infrastructure-as-code and automated testing.

• Understanding of distributed systems and messaging queues to support reliable communication between services.

• Experience with HPC schedulers such as slurm or LSF, from using such components to developing them.