Lead Engineer

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟯𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟮𝟬-𝟯𝟱 𝗟𝗣𝗔) Experience: 7+ yrs Location: Remote (India) Job Type: Full-time We are looking for an experienced Senior Backend Engineer with strong expertise in Node.js/TypeScript, Java, AWS, APIs, and Model Context Protocol (MCP) to build production-grade backend systems and AI-powered integrations. The role focuses on designing and implementing MCP servers and tool integrations that enable Large Language Models (LLMs) and AI agents to securely interact with enterprise systems, APIs, and business applications. The ideal candidate will combine strong backend engineering fundamentals with practical experience building MCP integrations and a deep understanding of API security, authentication, authorization, and cloud infrastructure. You will be responsible for developing reliable, scalable, and secure services that bridge AI agents with external tools and data sources. Requirements Key Responsibilities Design, develop, and maintain scalable backend services and MCP servers for AI-powered applications. Build and deploy production-ready MCP integrations that enable LLMs and AI agents to interact with external tools and systems. Define clear and reliable MCP tool schemas, descriptions, parameters, validation rules, and response structures. Design RESTful APIs following established API design principles and OpenAPI/Swagger specifications . Implement API versioning strategies that support backward compatibility and safe evolution of integrations. Develop cloud-native services using AWS Lambda and API Gateway . Configure and manage AWS networking components including VPCs, security boundaries, and service connectivity . Secure application credentials and sensitive configuration using AWS Secrets Manager . Implement monitoring, logging, alerting, and operational visibility using CloudWatch and related AWS services. Implement secure authentication and authorization mechanisms using OAuth 2.0 , including client credentials and on-behalf-of flows. Design and manage secure API key authentication and credential management processes. Apply strong security practices across APIs, MCP servers, cloud infrastructure, and integrations. Ensure credentials, tokens, secrets, and sensitive data are appropriately protected throughout the application lifecycle. Collaborate with product and engineering teams to understand integration requirements and translate them into technical solutions. Troubleshoot production issues, investigate integration failures, and perform root-cause analysis. Write clean, testable, maintainable, and production-ready code. Develop unit, integration, and API tests to ensure reliability and security. Contribute to CI/CD pipelines, deployment automation, documentation, and engineering standards. Monitor system performance and reliability and identify opportunities for optimization. Stay current with MCP, LLM tooling, AI agent architectures, cloud technologies, API security, and emerging AI integration patterns . What Makes You a Great Fit 7+ years of software engineering experience building and operating production backend systems. Direct hands-on experience designing and implementing MCP servers , with at least one MCP integration shipped to production or active users. Strong proficiency in Node.js and/or TypeScript . Mandatory familiarity with Java and the ability to work effectively with Java-based systems and integrations. Strong experience with AWS Lambda, API Gateway, VPC, Secrets Manager, and CloudWatch . Strong understanding of REST API design, API architecture, and OpenAPI/Swagger specifications. Experience implementing API versioning and maintaining backward-compatible integrations. Hands-on experience with OAuth 2.0 , including client credentials and on-behalf-of flows. Strong understanding of API key management and secure credential handling. Clear understanding of how LLMs consume tool definitions and how tool descriptions, schemas, and interface design influence agent behaviour. Strong understanding of MCP concepts, AI tool calling, agent integrations, and external system connectivity. Strong security mindset with practical knowledge of authentication vs. authorization, secrets management, credential exposure, and secure API design . Experience building reliable distributed backend services and production integrations. Strong debugging, troubleshooting, testing, and root-cause analysis skills. Familiarity with Git, CI/CD, automated testing, and modern software development practices. Strong communication and collaboration skills with technical and non-technical stakeholders. Ability to independently own complex backend and AI integration initiatives from design through production.