Lead Engineer

Weekday (YC W21)

. Design, develop, and maintain scalable backend services and MCP servers for AI-powered applications .

Posted 9/18/2026full-timeRemote • IndiaSenior💰 ₹2,000,000 - ₹3,500,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable backend services and MCP servers for AI applications, with a strong focus on API design, security practices, and cloud-native solutions using AWS technologies. Proven ability to manage complex integrations and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

Node.js ProficiencyAWS Lambda ExperienceREST API DesignOAuth 2.0 ImplementationMCP Server Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Node.jsTypeScriptJavaAWS LambdaAPI GatewayVPCSecrets ManagerCloudWatchREST API DesignAPI Versioning

Soft Skills

Strong CommunicationCollaboration SkillsTroubleshootingRoot-Cause Analysis

Tools & Technologies

OpenAPISwaggerGitCI/CD

Industry Keywords

MCPAI IntegrationCloud TechnologiesAPI SecurityDistributed Backend Services

Tech Stack

Tools & technologies

AWSCloudJavaJavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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