Distributed Systems & Backend Lead

What You’ll Do

• Architect, Develop & Scale Systems: Design and implement scalable, fault-tolerant distributed systems. Build REST/GraphQL APIs, background workers, and data pipelines using tools like Celery, Kafka, or Airflow.
• Lead Backend Development: Spend roughly 20% of your time guiding and mentoring junior backend engineers while driving the team’s technical roadmap. Guide engineers in best practices for distributed design, debugging, and scaling.
• Ensure Performance & Reliability: Optimize performance and ensure high availability across multi-node environments.
• Collaborate with ML/AI Teams: Integrate backend with LLM serving, vector retrieval, and reinforcement learning pipelines.
• Contribute to DevOps: Maintain CI/CD pipelines and containerized deployments (Docker, Kubernetes).

What We’re Looking For

• 5+ years of backend or distributed systems experience
• Strong in Python, TypeScript, or Node.js.
• Deep understanding of message queues, asynchronous systems, and scaling strategies. Experience with streaming systems like Kafka, RabbitMQ, or Pub/Sub.
• Experience with databases like PostgreSQL, Redis, MongoDB, Milvus, and Elasticsearch, including familiarity with vector databases and semantic retrieval.
• Knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure automation.
• Familiarity with LLM systems, agent orchestration, or event-driven architectures.

Nice-to-Haves

• Demonstrated leadership experience in guiding, mentoring, and supporting the growth of backend engineers.
• Contributions to open-source distributed systems.
• Understanding of multi-agent AI and reinforcement learning pipelines.

Why Join Us

Impact: Build core infrastructure that powers next-generation reasoning AI.

Growth: Work with top-tier distributed systems and AI engineers.

Compensation: Competitive salary + early-stage equity.

Flexibility: Hybrid working culture with high ownership.

Innovation: Shape the backbone of a platform redefining human–AI collaboration.