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)
Job Types: Full-time, Permanent
Pay: ₹1,065,303.05 - ₹1,590,756.23 per year
Benefits:
Health insurance
Paid sick time
Paid time off
Provident Fund
Application Question(s):
What is your Total IT Experience ?
How many years of Experience do you have with Python?
How many years of Experience do you have with Microservices?
How many years of Experience do you have with LangChain?
Do you have Notice period of 30 Days or less?
Work Location: In person
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