Senior Cloud Backend Software Engineer designing and building scalable backend services for quantum technologies. Focused on developing cloud-native microservice architectures and reliable backend systems.
Responsibilities
Design, develop, and operate cloud-native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs.
Build Python-based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services.
Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows.
Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation.
Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes.
Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems.
Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development.
Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability.
Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience.
Requirements
Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience.
Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools.
Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes.
Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation.
Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability.
Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams.
**Desirable Skills or Knowledge**
Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar).
Experience with message queues and event-driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar).
Experience with database systems and data infrastructure, including relational databases, time-series databases, and large-scale data pipelines.
Experience building Python packages with native extensions (Rust/C/C++).
Benefits
In addition to your base compensation, we offer a generous Total Rewards program which includes:
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