Java Full Stack Developer

Weekday (YC W21)

. Design, develop, and maintain production-grade MCP servers and MCP integrations .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure, scalable backend systems using Node.js, TypeScript, and AWS services. Proficient in REST API design, OAuth 2.0 authentication, and ensuring system reliability and security throughout the development lifecycle.

Highest-signal resume keywords

Node.js DevelopmentAWS LambdaREST API DesignOAuth 2.0 ImplementationMCP Server Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Node.jsTypeScriptJavaAWS LambdaAPI GatewayOpenAPISwaggerOAuth 2.0API Key ManagementBackend System Design

Soft Skills

CommunicationCollaborationProblem-SolvingOwnership MindsetDebugging

Tools & Technologies

AWS VPCSecrets ManagerCloudWatchMCP IntegrationsAI Agents

Industry Keywords

Production-Grade SystemsSecure Integration PracticesCredential ManagementData ProtectionIntegration Risks

Tech Stack

Tools & technologies

AWSCloudJavaJavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact

Design, develop, and maintain production-grade MCP servers and MCP integrations
Build backend services and APIs using Node.js/TypeScript, with integration across Java-based systems where required
Design secure and scalable REST APIs using OpenAPI/Swagger specifications and well-defined versioning strategies
Develop and deploy serverless backend solutions using AWS Lambda and API Gateway
Configure and work with AWS VPC, Secrets Manager, and CloudWatch for secure networking, credential management, monitoring, and observability
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-handling processes
Define MCP tools, schemas, descriptions, and interfaces that enable LLMs and AI agents to reliably use backend capabilities
Understand how tool definitions and descriptions influence LLM and agent behaviour, and continuously improve tool usability and reliability
Build validation, error handling, logging, monitoring, and failure-recovery mechanisms for MCP and API integrations
Identify and address authentication, authorization, credential exposure, data-access, and other security risks before production deployment
Troubleshoot production issues across MCP servers, APIs, AWS services, authentication flows, and integrations
Collaborate with engineering, product, AI, and infrastructure teams to translate requirements into scalable technical solutions
Contribute to architecture reviews, technical documentation, coding standards, and engineering best practices
Continuously improve the reliability, security, scalability, and maintainability of AI-enabled backend systems

Requirements

What you’ll need

7+ years of professional software engineering experience, including strong hands-on experience building production backend systems
Direct experience designing and implementing MCP servers, with at least one MCP integration deployed to production or actively used
Strong proficiency in Node.js or TypeScript
Mandatory familiarity with Java and Java-based backend systems
Strong hands-on experience with AWS Lambda, API Gateway, VPC, Secrets Manager, and CloudWatch
Solid understanding of REST API design, OpenAPI/Swagger, API versioning, and backend integration patterns
Practical experience implementing OAuth 2.0, including client credentials and on-behalf-of flows
Experience with API key management and secure credential handling
Strong understanding of how LLMs consume tool definitions and how tool descriptions, schemas, and interfaces affect agent behaviour
Strong security mindset with a clear understanding of authentication vs. authorization
Ability to identify credential exposure, access-control, data-protection, and integration risks early in the development lifecycle
Strong debugging, problem-solving, and production troubleshooting skills
Experience designing reliable, scalable, observable, and maintainable backend systems
Strong understanding of API security, cloud security, logging, monitoring, and secure integration practices
Excellent communication and collaboration skills with the ability to work effectively in a remote environment
Strong ownership mindset and ability to independently drive backend and AI integration initiatives from design through production