Lead Engineer

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

💵 ₹2M - ₹3.5M / year

⏰ Full Time

🟠 Senior

🧑‍💻 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 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

• 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