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Full-Stack Developer Lead

Indigrators · Hyderabad · India · On-site

Pay: INR 2,500,000 – 3,500,000 a year

Posted Sep 9, 2026

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Tech Lead / Lead Full-Stack Developer Location: Hyderabad Mode: Full-time Team: Small, high-velocity product engineering team Role Overview You will build end-to-end features across mobile and web for a home healthcare care provider platform. Work spans patient scheduling, care delivery workflows, real-time updates, multilingual UI, and deep operational processes. Key Responsibilities End-to-End Ownership Design, build, deploy, and maintain complete full-stack applications Take architectural decisions independently with long-term scalability in mind Own system performance, reliability, security, and data integrity Backend & Systems Build robust backend services, APIs, and integrations Design scalable databases, data models, and workflows Handle complex business logic, concurrency, and edge cases Integrate with third-party systems (payments, logistics, CRMs, ERPs, etc.) Frontend Build intuitive, high-performance user interfaces Translate business requirements into clean UX flows Ensure responsiveness, accessibility, and cross-browser compatibility DevOps & Deployment Set up CI/CD pipelines and cloud infrastructure Manage environments (dev, staging, production) Ensure monitoring, logging, and quick issue resolution Manage cloud budgets and optimisations Problem Solving & Ownership Debug and resolve complex, production-level issues Refactor legacy systems and improve existing architectures Proactively identify risks and propose technical improvements Required Skills Core Technical Skills Strong expertise in backend development (Node.js / Python / Java / NestJS / similar) Solid frontend experience (React / Vue / NextJS / Angular or equivalent). Strong understanding of REST APIs, microservices, and system design. Hands-on experience with SQL & NoSQL databases. Cloud experience (AWS / GCP / Azure). AI & Modern Tech Practical experience integrating AI/ML models into applications. Familiarity with LLM APIs, embeddings, vector databases, or AI pipelines. Understanding of AI limitations, failure modes, and cost controls. Must demonstrate the ability to build and ship production-grade systems using AI-assisted development workflows. This includes translating ambiguous product requirements into architecture, generating and reviewing code with AI tools, implementing tests, and deploying features independently. Expected to define and scale AI-assisted development practices within the team, improving engineering velocity and code quality. Engineering Mindset Excellent problem-solving and debugging skills Ability to deliver fully independently Strong documentation and communication skills Bias for clean, maintainable, production-grade code Bring in AI enabled development across the stack Stay current on AI enhancements, new models and have 100% working knowledge on agentic build. Managerial Skills Manage pod Handle technical challenges raised by the junior/senior full stack engineers Nice…