System Development Engineer

You will be joining our team as a System Development Engineer focusing on the Hybrid Scientific Computing Stack. A strong background in computer science and software development is required for this role, and knowledge of quantum computing would be an added advantage. Your responsibilities will include working on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes. Containerized workflows using Docker, Singularity, and Helm will be part of your tasks. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management, will also be within your purview. Additionally, you will work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions is essential. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,