Backend Lead Engineer

Role Overview

We are looking for a highly capable Backend Lead to architect, build, and scale our backend systems powering AI-driven products. You will design robust backend architectures, lead the engineering team, drive technical direction, and ensure our APIs, services, and infrastructure are optimized for high-performance AI workloads.

Key Roles

• Architect and develop scalable backend systems using Django, FastAPI, microservices, and domain-driven design principles.

• Lead the planning, designing, and implementation of RESTful APIs and backend services used by internal and external applications.

• Oversee backend integrations for AI model inference, job orchestration, async processing, and high-load GPU-backed services.

• Manage data storage solutions across PostgreSQL, MongoDB, Redis, and implement caching and pub/sub patterns.

• Build reliable asynchronous task systems using Celery, Redis queues, RabbitMQ, or equivalent.

• Lead, mentor, and support the backend engineering team—code reviews, technical guidance, architecture decisions, and delivery planning.

• Collaborate with ML, DevOps, and product teams to ensure smooth end-to-end delivery of AI features.

Responsibilities

• Drive backend architectural decisions, enforce coding standards, and ensure best practices in security, performance, and reliability.

• Develop scalable backend solutions for model serving, heavy computation pipelines, and async job execution.

• Optimize API performance, caching layers, database schemas, and background tasks.

• Own sprint planning, task allocation, and overall backend team productivity.

• Maintain CI/CD workflows, participate in debugging sessions, and guide the team in troubleshooting complex backend issues.

• Document architectural designs, API specifications, and backend workflows.

• Ensure backend systems are production-ready, with proper logging, monitoring, and fault tolerance.

Required Qualifications

• Bachelor’s degree in Computer Science or related field.

• 4–7+ years of backend development experience, including system design and team leadership.

• Strong proficiency in Django, FastAPI, Python, and modern API development.

• Hands-on experience with PostgreSQL, MongoDB, Redis, and caching strategies.

• Strong knowledge of Celery or similar asynchronous task queues.

• Experience working with AI/ML model-serving backends is a strong plus (GPU workloads, async inference, batching, streaming, WebSocket APIs).

• Understanding of backend scalability, distributed systems, and microservice architecture.

• Experience mentoring engineers, conducting reviews, and managing team delivery.

Note - We also accept International Applicants