Posted:11 hours ago|
Platform:
On-site
Full Time
NEW OPPORTUNITY - Python Backend Engineer || Immediate to 30 Days Joiners Required
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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.
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· 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.
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· 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
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· 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)
Info Origin Inc.
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