Sr Python Engineer

Job Summary

Ciklum is looking for a Senior Python Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

As a Senior Python Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. We are looking for a Senior Python Developer with deep expertise in Python backend architecture, AWS cloud infrastructure, and modern data systems to build performant, event-driven applications. In this role, you will lead the backend design, manage scalable cloud infrastructure, maintain robust data layers, and integrate emerging AI/LLM components while working across the full application stack.

Responsibilities

• Backend System Architecture: Architect and maintain high-performance microservices, REST APIs, WebSockets, and background job processing leveraging Python and FastAPI. Design resilient, event-driven systems built for scale
• Cloud Infrastructure DevOps: Drive AWS infrastructure deployment (ECS/EKS, Lambda, RDS, S3, API Gateway) using Terraform or AWS CDK. Build automated CI/CD pipelines with GitHub Actions and monitor overall system health
• Database Data Management: Model, optimize, and maintain relational (PostgreSQL), NoSQL (DynamoDB), and in-memory (Redis) databases to ensure fast query performance and high availability
• Frontend Engineering: Build responsive user interfaces using React, Next. js (App Router), TypeScript, and Tailwind/MUI, integrating state management and secure authentication flows
• Security Auth: Enforce enterprise-grade API security, OAuth/JWT authentication, Role-Based Access Control (RBAC), and centralized secrets management across all services
• AI Agentic Integrations: Implement AI capability integrations using prompt engineering, structured outputs, RAG workflows, vector databases, and agentic frameworks (e. g. , LangGraph, PydanticAI, CrewAI)

Testing Quality: Ensure system stability through robust testing pipelines using Pytest, comprehensive API test suites, and basic LLM evaluations

Requirements

• Backend: Python, FastAPI, Async Programming, REST APIs, WebSockets, Background Jobs
• AWS: ECS/EKS, Lambda, API Gateway, S3, IAM, Secrets Manager, CloudWatch, RDS, Bedrock
• Strong Proficiency
• Databases: PostgreSQL, DynamoDB, Redis, Advanced SQL Optimization
• Architecture: Microservices, Event-Driven Architecture, Scalable API Design
• DevOps: Docker, CI/CD Pipelines, GitHub Actions, Infrastructure as Code (Terraform or AWS CDK), Monitoring
• Security: OAuth/JWT, RBAC, Secrets Management, API Security
• Medium Proficiency
• Frontend: React, Next. js (App Router), TypeScript, Tailwind CSS / MUI, State Management, Client-Side Authentication
• Testing: Pytest, Automated API Testing, LLM Performance Evaluation
• Working / Basic Knowledge
• AI/LLM Engineering: Prompt Engineering, Structured Outputs, Tool Calling, RAG, Embeddings, Vector Databases
• Agentic Frameworks: LangGraph, PydanticAI, OpenAI Agents SDK, CrewAI (or similar frameworks)

#LI-GP1

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.