Backend Systems Engineer

Position Overview

We are looking for a motivated Backend Systems Engineer to join our team. Candidates should have a strong background in computer science and software development. Knowledge of quantum computing is a plus.

Key Responsibilities

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Design and develop robust, scalable, and secure backend services using Python (FastAPI/Django/Flask) and async frameworks.

• Implement RESTful APIs following best practices in OpenAPI/Swagger, versioning, validation (Pydantic), and error handling.

• Architect and manage job orchestration systems using Celery, RabbitMQ/Redis, and integrate with various compute backends.

• Build and maintain authentication & authorization mechanisms, leveraging JWT, OAuth2.0, Auth0, and enforcing secure coding practices (CORS, HTTPS, CSRF, RBAC).

• Optimize and manage storage systems across relational (PostgreSQL), NoSQL (MongoDB), caching (Redis), and object storage (S3/MinIO) layers.

• Implement monitoring, logging, and observability pipelines using Prometheus, Grafana, Loki/ELK, and Flower for task tracking.

• Write comprehensive tests and enforce code quality via pytest, pre-commit hooks, and integration testing tools.

• Maintain internal documentation (Swagger, MkDocs) and collaborate with the team via GitHub, Slack, Notion, and task trackers.

• Configure Slurm Workload Manager, define partitions, QOS policies, and ensure fair share scheduling with compute/resource limits (CPU, memory, GPU).

• Provision users, groups, and storage layout with per-team isolation, Linux ACLs, shared scratch, and persistent directories.

• Manage environment module systems (Lmod) and multi-version support (CUDA, GROMACS, Qiskit, Conda environments).

• Implement robust monitoring, alerting, and audit pipelines using Prometheus, Grafana, node_exporter, dcgm-exporter, Slurm exporters, and container monitors (cAdvisor).

• Enforce access control and secure job execution via rbash, SSH key-only login, restricted shells, and centralized logging (journald/auditd).

• Automate nightly backups and disaster recovery with NAS + Rsync, system image snapshots, and maintain documented recovery playbooks.

• Author and maintain server provisioning scripts, onboarding SOPs, and a centralized repository of job templates, modulefiles, and update logs.

Qualifications

Required:

• 3+ years of experience in full-stack/systems development and deployment.

• Strong hands-on experience with FastAPI and RESTful API design.

• Deep understanding of asynchronous programming, ORMs (SQLAlchemy/Tortoise), and ASGI/WSGI servers.

• Proven experience with Celery and task queues for async job orchestration.

• Solid understanding of authentication/security best practices and Auth0 or similar platforms.

• Experience with PostgreSQL, Redis, and object storage solutions like AWS S3.

• Proficiency with Docker environments.

• Familiarity with automated testing (pytest, Postman), and observability tools (Grafana, Prometheus).

• Strong experience with Linux system administration (Ubuntu/Debian preferred) in high-performance compute (HPC) or research lab settings.

• Hands-on experience setting up and managing Slurm, cgroups, Gres/GPU configs, and job execution templates.

• Comfortable configuring and debugging GPU drivers, CUDA toolkits, and tools like nvidia-container-toolkit, nvidia-smi, and MPS.

• Experience setting up and maintaining Prometheus, Grafana, and exporters for system, GPU, and Slurm metrics.

• Proficient with shell scripting (bash) and basic configuration automation tools (e.g., Ansible or cloud-init).

• Understanding of container runtimes (Docker, Singularity) in HPC-like workflows.

Preferred:

• Exposure to quantum computing SDKs (Qiskit, Braket, Cirq, PennyLane) or SLURM/HPC job schedulers.

• Experience deploying to on-prem/HPC environments over SSH or VPN.

• Knowledge of load testing tools (Locust, k6) and log aggregation pipelines (Loki, ELK).

• Background in real-time monitoring dashboards, admin tools, or user activity audit trails.

• Experience architecting on-prem/hybrid deployments integrating quantum SDKs (Qiskit, PennyLane, Cirq) with classical AI/ML workloads.

• Experience configuring NAS, backup automation (cron + rsync), and snapshot-based recovery (Clonezilla, Timeshift).

• Knowledge of environment management systems like Lmod, Spack, or Conda in HPC/scientific computing environments.

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Experience enforcing security hardening policies: SSH key-only auth, restricted shells, user quotas, and RBAC patterns in Linux.

What We Offer

• Opportunity to work with cutting-edge quantum technologies.

• Innovative and collaborative startup environment.

• Competitive salary and benefits.

• Professional development and collaboration opportunities.