Java Full Stack Developer

🔥 3 minutes ago

🇮🇳 India – Remote

💵 ₹2M - ₹3.5M / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

• 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