Job description

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 to Have

Experience building products in healthcare, fintech, logistics, or enterprise SaaS
Experience scaling systems from early-stage to growth stage
Prior startup or zero-to-one product experience
Exposure to security, compliance, or regulated environments
Exposure to scaling enterprise systems and solving hard complex business problems
Experience in building mobile applications across android and iOS ecosystems
Managed big data technologies (Hadoop, Kafka) and large DB
Have had past experience on security systems such as OWASP, and tools such as DAST/SAST

What Success Looks Like

You can take a vague idea and convert it into a working system
You solve problems others get stuck on
You reduce complexity instead of adding it
You build systems that don’t break at scale

Must have Qualifications

BE/BTech from Tier 1 Engineering Colleges only – CSE /IT (Mandatory)
Masters is Computer science is a plus
At least 5+ years of overall experience with a must have experience in a Product based company.

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