System Development Engineer

You will be joining the 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. - Work on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis - Be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes - Manage containerized workflows using Docker, Singularity, and Helm - Handle monitoring and observability tasks with tools like Prometheus, Grafana, Loki, and Flower - Deploy cloud-based solutions on platforms like GCP, AWS, and Azure, as well as manage secure on-prem servers - Work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod Qualifications Required: - Hold a minimum Bachelor's Degree in Computer Science or related fields - Have at least 2 years of professional work experience in full-stack systems engineering - Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps - Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions - 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.,