Lead Python Developer

Role:

Lead Python Developer Location:

Noida,/Dehradun/Gondia Work Mode:

Onsite Employment Type:

Full-Time Interview Mode:

Video or In Person Job Description

Why This Role Matters As our Python Backend Engineer, you will own and evolve the backend architecture for a large-scale analytical platform that processes massive datasets and serves thousands of concurrent users inreal time.

You’ll design low-latency, secure, and reliable APIs, lead the integration of GenAI-powered workflows, and ensure our system meets the highest standards of performance, scalability, and resilience.

What You’ll Do Own backend system architecture for a high-throughput real-time analytics platform. Lead the design and development of secure REST APIs and microservice in Python. Architect and integrate GenAI workflows using LlamaIndex, LangChain or similar frameworks. Implement real-time streaming using Server-Sent Events (SSE), event-driven patterns, and messaging systems. Optimize and maintain database architectures (SQL/NoSQL) for performance and scalability. Define and enforce security best practices, authentication, and authorization (OAuth2, JWT). Establish standards for structured logging, monitoring, and distributed tracing. Drive cloud-native deployments and ensure systems scale seamlessly. Mentor mid-level engineers, lead architecture discussions, and set engineering standards. Collaborate across product, data, and infrastructure teams to align backend capabilities with business needs.

Must-Have Skills 5–7 years of professional Python backend development experience and Leading a team. Expert in REST API design and microservices architecture Strong proficiency with security best practices for backend systems SSE, WebSockets, and event-driven architecture experience Hands-on experience with LlamaIndex, LangChain, or similar AI tooling Strong database skills: PostgreSQL/MySQL, MongoDB, or other NoSQL systems Authentication & authorization (OAuth2, JWT) Logging, monitoring, and tracing (ELK, Prometheus, Grafana, OpenTelemetry) Proven experience leading technical discussions and mentoring developers

Preferred Skills (Nice-to-Haves) Exposure to MCP, A2A is a big plus. Experience with LlamaIndex Workflow and workflow tracing AWS cloud services (EC2, Lambda, S3, API Gateway) Kubernetes orchestration (EKS preferred) CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI) Infrastructure-as-Code (Terraform, CloudFormation) Messaging systems (Kafka, RabbitMQ, AWS SNS/SQS) Caching strategies (Redis, Memcached) Containerization (Docker) and image optimization Serverless computing patterns Matplotlib or backend-driven chart generation Performance profiling and load testing tools (Locust, JMeter)