Python Backend Engineer

3 - 7 years

3 - 7 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

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 in real 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
  • 3 7 years of professional Python backend development experience
  • 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)

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