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)
