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Senior Backend Engineer TypeScript on AWS Serverless

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Senior Backend Engineer TypeScript on AWS Serverless

Xebia It Architects

Senior Backend Engineer TypeScript on AWS Serverless

Skills

Data EngineeringTypescriptPythonMicroservicesAWS LambdaSnowflakeData AnalysisAIAWSGitHub

21 days ago

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Important information


Contract type:

Permanent

Work mode:

Remote

Published on:

29 September 2026

What they need


We have an active requirement for a Senior Backend Engineer TypeScript on AWS Serverless. Please support us with relevant and thoroughly screened profiles.

Role Details

  • Role: Senior Backend Engineer – TypeScript + AWS Serverless
  • Experience: 7+ years
  • Location: India – Hybrid

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

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