- 7+ years of experience in Python backend development
- Strong experience with authentication protocols: OIDC, SAML, JWT, SSO
- Hands-on experience with MCP, RAG and Agentic AI
- Strong software engineering background covering design, development, testing, deployment and production support
- Knowledge of clean architecture, SOLID principles and design patterns
- Experience designing robust and scalable APIs and microservices
- Strong understanding of asynchronous programming, concurrency, caching and fault tolerance
- Hands-on AWS cloud experience, including compute, networking and IAM
- Experience with React, Next.js or similar frontend frameworks
- Experience with Docker, CI/CD and GitHub Workflows
- Experience with Terraform or CloudFormation
- Knowledge of software quality practices, automated testing, code reviews and static analysis
- Experience working in Agile environments
- Strong problem-solving, communication and ownership skills
- Ability to quickly learn new technologies and work in a fast-moving Agentic AI environment
Nice to have- Experience with data platforms, AI/ML integrations or database querying
- Knowledge of Snowflake
- Experience in Data Engineering
- Experience with additional identity providers and cloud technologies
,(Design, develop and maintain backend services in Python using FastAPI, Starlette and similar technologies, Build secure authentication and authorization solutions using OIDC, SAML, JWT and SSO, Integrate applications with identity providers such as Azure AD and Okta, Develop asynchronous and concurrent Python applications, Build event-driven and streaming architectures using AWS messaging services and Redis, Develop REST APIs and microservices with focus on scalability, security and reliability, Develop and maintain frontend applications using React, Next.js or similar technologies, Work with AWS services including EC2, ECS, Lambda, RDS, S3, IAM and VPC, Automate infrastructure using Terraform and other IaC tools, Implement and maintain CI/CD pipelines and DevOps workflows, Write unit and integration tests and maintain high code quality standards, Monitor, troubleshoot and optimize application performance, security and reliability, Work with data engineers, cloud engineers, AI engineers and product teams, Contribute to AI-enabled solutions using MCP, RAG and Agentic AI, Support production systems, incident resolution and continuous improvement) Requirements: Python, OIDC, SAML, JWT, SSO, MCP, RAG, Agentic AI, Clean Architecture, SOLID, Design Patterns, API, Microservices, AWS, IAM, React, Next.js, Docker, CI/CD, GitHub, Terraform, CloudFormation, Automated testing, Code reviews, Problem-Solving, Communication skills, Data platforms, AI/ML, Data base querying, Snowflake, Data engineering, Additional identity providers, Cloud technologies