Python Backend Engineer

Role :

Python Backend Engineer

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

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)