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 :

1. 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.

2. 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.

3. 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.

4. 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.

5. Collaboration :

- Work closely with stakeholders and cross-functional teams.

- Translate user stories into technical solutions.

- Drive technical discussions and decision-making.

Required Technical Skills :

1. Backend & APIs :

- Strong experience in Node.js for building scalable APIs.

- Expertise in designing RESTful / event-driven architectures.

2. Frontend :

- Hands-on experience with React.js.

- Understanding of modern UI/UX practices and performance optimization.

3. Databases :

- Strong experience with : Elasticsearch (ES) querying, indexing, performance tuning.

- MongoDB (Cosmos DB) schema design, scalability, optimization.

- Azure SQL DB schema design, scalability, optimization.

4. Data Engineering :

- Experience with : Azure Data Factory (ADF) pipeline orchestration.

- Azure Databricks (ADB) data processing, Spark-based transformations.

5. AI :

- To build AI Agents.

- Building scalable and efficient data systems using AI tools like Claude, etc.

6. 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.