Full Stack Engineer (Python/AWS)

Responsibilities

• 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

• 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