Python Backend Engineer
6 hours ago
Role:
Python Backend Engineer
Location:
Noida, UP
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 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 microservices 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
- Strong database skills: PostgreSQL/MySQL, MongoDB, or other NoSQL systems
- Authentication & authorization (OAuth2, JWT), RBAC
- Proven experience leading technical discussions and mentoring developers
Preferred Skills (Nice-to-Haves)
- Exposure to MCP, A2A is a big plus.
- Hands-on experience with LlamaIndex, LangChain, or similar AI tooling is a big plus.
- Logging, monitoring, and tracing (ELK, Prometheus, Grafana, OpenTelemetry)
- 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)
Note:
While we expect mastery in the must-haves, we value adaptability — if you're an expert in most areas and can quickly learn the rest, you're the kind of leader we want.
Why You'll Love This Role
- Impact – You'll design the systems that power critical analytics for thousands of users.
- Challenge – Build and scale real-time, secure APIs in a high-performance environment.
- Innovation – Lead the integration of advanced GenAI capabilities into large-scale backend systems.
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