About
We are seeking a Backend Software Developer to guide key backend technologies and initiatives within IBM Quantum. In this role, you will lead complex technical efforts, break down large-scale engineering problems, and drive cross-functional collaboration across research, engineering, and product teams.
Your work will directly contribute to the innovation and reliability of distributed systems powering quantum workloads. You will apply technical expertise to deliver scalable, secure, and high‑performance services that enable quantum applications in optimization, AI, and scientific discovery.
This role emphasizes technical leadership, ownership of major components, and consistent delivery of business value.
Your role and responsibilities
You’ll be responsible for developing robust, high‑performance systems across multiple services and critical components of the IBM Quantum platform. This includes improving service efficiency, strengthening fault tolerance, and driving the productization of essential infrastructure and execution services. Through active participation in architectural discussions and technical design sessions, you will help shape scalable and resilient platforms that support quantum workloads with reliability and precision.
Our work plays a fundamental role in transforming complex quantum research into scalable, real‑world solutions that define the next era of computing. Joining this team as a Software Engineer means stepping into a high‑impact role where you'll architect, build, and optimize services powering both cloud and on‑premise quantum infrastructures—ensuring they meet the performance, security, and reliability standards required by cutting‑edge scientific and enterprise applications.
Required technical and professional expertise
Strong proficiency in backend development using TypeScript, JavaScript, Golang, Python, or similar programming languages for building production‑grade systems.
Extensive experience designing and maintaining scalable service architectures, including REST, gRPC, microservices, event-driven services, and distributed components.
Solid understanding of distributed systems concepts—including concurrency, load balancing, service orchestration, caching, and data consistency.
Hands-on experience with Kubernetes, Docker, and containerized deployments.
Proficiency with SQL databases (e.g., PostgreSQL) and familiarity with designing data models for high‑throughput systems.
Experience building and operating cloud‑native systems and services running across multiple environments (cloud, on‑prem, hybrid).
Preferred technical and professional experience
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Experience using AI-assisted development tools (e.g., code generation, automated refactoring, test creation, or debugging assistants) to improve engineering productivity and code quality.
Demonstrated experience with CI/CD pipelines, infrastructure-as-code, automated testing, and modern DevOps practices.
Proficiency with monitoring tools (Grafana, Sysdig, Prometheus) and incident‑driven improvements.
Experience with event-driven architectures and messaging systems.
Experience exploring or adopting new AI technologies that enhance developer productivity, service reliability, or operational efficiency.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Languages
- English
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