Back End Developer

Job Title: Backend Developer

Location: Atlanta GA-3 Days in a Wek – Need Local

1. Node.js + aws serverless
2. .net +aws serverless

Job Description – Senior Backend Engineer (AWS Serverless & AI Platforms)

Experience: 7+ Years

Location: U.S (Atlanta)

Employment Type: Full-Time/Contract

Role Summary

We are seeking a highly skilled Senior Backend Engineer with deep expertise in TypeScript on AWS Serverless, and AI-powered application development . The ideal candidate will be responsible for designing and building scalable, event-driven backend systems while leveraging modern AI technologies such as Claude, AWS Bedrock, and LangGraph .

This role requires an AI-native engineer who is fluent in AI-assisted coding practices and has hands-on experience delivering enterprise-grade solutions in a true Agile environment.

Key Responsibilities

• Design, develop, and maintain scalable backend services using TypeScript on AWS Serverless architecture.
• Build and manage RESTful APIs, domain integrations, and event-driven workflows across multiple enterprise systems.
• Architect and implement distributed systems using AWS Lambda , API Gateway , EventBridge , and related AWS services.
• Develop and maintain Backend-for-Frontend (BFF) services using TypeScript.
• Build AI-enabled applications leveraging Claude, AWS Bedrock, LangGraph.
• Design and orchestrate AI workflows, intelligent agents, RAG solutions, and enterprise AI integrations.
• Have experience on NoSQL using DynamoDB and integrate with enterprise analytics platforms such as Snowflake .
• Implement caching strategies to improve application performance and scalability.
• Collaborate closely with Product Owners, Architects, Frontend Engineers, and Data Engineering teams.
• Drive engineering excellence through code reviews, automated testing, CI/CD, and cloud-native best practices.
• Participate actively in Agile ceremonies including sprint planning, standups, retrospectives, and backlog refinement.

Required Skills

• Backend Development : Strong hands-on experience with TypeScript on AWS serverless, REST APIs, microservices, and Backend-for-Frontend (BFF) architectures.
• AWS Serverless: Expertise in AWS Lambda, API Gateway, EventBridge, Cognito, and AWS CDK for cloud-native application development.
• Event-Driven Architecture: Experience designing and implementing scalable event-driven integrations across multiple business domains.
• Generative AI & AI Platforms: Hands-on experience with Claude, AWS Bedrock, LangGraph, Python, Bedrock Guardrails, AI agents, and RAG-based solutions.
• Identity & Access Management: Strong understanding of OAuth 2.0, OpenID Connect (OIDC), Okta, and Microsoft Entra ID for authentication and identity management. Experience implementing OAuth scopes, role-based access control (RBAC), enterprise entitlements, and authorization frameworks for secure enterprise applications.
• AI-Assisted Coding: Proficiency with Cursor, Claude Code, GitHub Copilot, or similar tools, with experience leveraging AI to improve development speed, quality, and productivity.
• Data & Analytics: Strong understanding of DynamoDB, NoSQL data, caching strategies, enterprise data platforms, and Snowflake integration for analytics and reporting.
• DevOps & Engineering Practices : Experience with CI/CD, Infrastructure as Code, Git-based workflows, monitoring, and cloud security best practices.
• Agile Delivery: Proven experience working in a real Agile/Scrum environment, collaborating with cross-functional teams to deliver high-quality software

AI-Assisted Development (Mandatory)

• Proficient with Cursor, Claude Code, GitHub Copilot , or similar AI coding tools.
• Ability to leverage AI for code generation, testing, debugging, refactoring, and documentation.
• Experience working in an AI-first engineering environment with measurable productivity improvements.

Preferred Qualifications

• AWS Certifications.
• Experience with Domain-Driven Design (DDD).
• Financial services or enterprise SaaS experience.
• Strong understanding of cloud security and DevOps practices