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About the role
Job Title : Technical Lead Full Stack, Data Engineering and AI Agents. Location : Hyderabad. Experience : 5 to 8 years. Role Overview We are looking for a hands-on Technical Lead with strong experience in full-stack development, data engineering and AI Agents ecosystems. The ideal candidate will lead a team building scalable, high-performance applications while actively contributing to design, development, and delivery. This role requires a balance of technical depth and execution ownership, with a strong focus on system reliability, and code quality. Key Responsibilities Technical Leadership : Mentor a team of developers across backend, frontend, and data engineering. Drive best practices in code quality, architecture, and performance optimization. Review and approve Pull Requests (PRs) to ensure high-quality deliverables. Validate builds, deployments, and release readiness. Execution & Delivery : Own day-to-day transactional delivery activities across projects. Identify risks, and proactively report issues/blockers. Unblock team members by providing technical guidance and solutions. Ensure adherence to timelines, SLAs, and engineering standards. Hands-on Development : Contribute to development when required (critical modules, performance issues, etc.). Build POCs and prototypes for new solutions or optimizations. Participate in debugging, troubleshooting, and production issue resolution. Architecture & Design : Design scalable and robust systems using modern architecture patterns. Create and review Low-Level Design (LLD) documents. Ensure systems are optimized for performance, scalability, and reliability. Collaboration : Work closely with stakeholders and cross-functional teams. Translate user stories into technical solutions. Drive technical discussions and decision-making. Required Technical Skills Backend & APIs : Strong experience in Node.js for building scalable APIs. Expertise in designing RESTful / event-driven architectures. Frontend : Hands-on experience with React.js. Understanding of modern UI/UX practices and performance optimization. Databases : Strong experience with : Elasticsearch (ES) querying, indexing, performance tuning. MongoDB (Cosmos DB) schema design, scalability, optimization. Azure SQL DB schema design, scalability, optimization. Data Engineering : Experience with : Azure Data Factory (ADF) pipeline orchestration. Azure Databricks (ADB) data processing, Spark-based transformations. AI : To build AI Agents. Building scalable and efficient data systems using AI tools like Claude, etc. System Design : Strong understanding of : Distributed systems. Microservices architecture. Data pipelines and real-time processing. Caching, indexing, and performance tuning strategies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and stakeholder management skills. Ability to balance hands-on work with leadership responsibilities. Proactive ownership and accountability. Good To Have Experience with observability platforms or monitoring systems. Exposure to cloud platforms (Azure preferred). CI/CD pipeline experience. Knowledge of streaming architectures (Kafka/Event Hub). What Success Looks Like High-quality, scalable systems delivered on time. Well-mentored, productive engineering team. Reduced production issues and faster resolution times. Clear technical documentation and maintainable codebase. (ref:hirist.tech)
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