Tech Lead - Hyderabad - WFO

Job Description –Tech Lead

Location: Gachibowli, Hyderabad Work Mode: Work From Office (WFO) Employment Type: Full-Time Experience: 7+ Years

Job Overview

We are looking for an experienced Tech Lead with strong expertise in Java backend development, solution architecture, database technologies, and modern AI/ML and Agentic AI solutions.

The ideal candidate should have extensive experience in designing scalable, secure, and high-performance enterprise applications, leading technical teams, and delivering end-to-end solutions from architecture and development through production deployment and support.

Candidates must have hands-on development experience and should have successfully deployed at least one project into a production environment, including experience handling production support and resolving critical technical issues.

Key Responsibilities

1. Architecture & Solution Design

• Design and develop scalable, secure, and high-performance enterprise application architectures.
• Define technical architecture, application design patterns, coding standards, and development best practices.
• Evaluate and recommend appropriate technologies, frameworks, and architectural approaches.
• Design microservices-based and distributed application architectures.

2. Java Backend Development

• Strong hands-on expertise in Java, Spring Boot, Spring Framework, and RESTful API development.
• Develop robust, reusable, maintainable, and high-performance backend services.
• Implement microservices, API integrations, and enterprise application components.
• Ensure code quality, security, scalability, and maintainability.

3. Database Technologies – RDBMS & NoSQL

• Strong experience with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Experience with NoSQL databases such as MongoDB, Redis, or similar technologies.
• Design database schemas, optimize SQL queries, and improve database performance.
• Implement efficient data models, indexing, and transaction management strategies.

4. AI/ML & Agentic AI Solutions

• Design and integrate AI/ML-powered capabilities into enterprise applications.
• Hands-on exposure to Agentic AI solutions, AI agents, and LLM-based application development.
• Experience with LLM integration, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
• Understand how to integrate AI services with Java-based backend applications.
• Experience with Python backend development is an added advantage.

5. Technical Leadership

• Lead technical design discussions and drive architecture and implementation decisions.
• Own technical delivery, code quality, and engineering standards.
• Identify technical risks, dependencies, and implementation challenges.
• Collaborate with product owners, architects, DevOps, QA, and business stakeholders.

6. CI/CD & DevOps Integration

• Experience with CI/CD pipeline design and implementation.
• Working knowledge of tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Experience with Docker, Kubernetes, and containerized application deployment.
• Understanding of cloud platforms such as AWS, Azure, or GCP is preferred.

7. Hands-on Development

• Actively participate in coding, code reviews, debugging, and technical problem-solving.
• Develop prototypes and proof of concepts for complex technical requirements.
• Guide the team in implementing scalable and maintainable solutions.
• Balance technical leadership responsibilities with hands-on development.

8. Team Leadership & Mentorship

• Mentor and guide developers and technical team members.
• Conduct code reviews and ensure adherence to coding and architectural standards.
• Support team members in resolving complex technical challenges.
• Promote engineering best practices and continuous improvement.

9. VAPT & Security Defect Closure

• Work closely with security and testing teams to address VAPT (Vulnerability Assessment and Penetration Testing) findings.
• Analyze and resolve application security vulnerabilities.
• Drive timely closure of security defects and ensure compliance with security standards.
• Implement secure coding practices and application security best practices.

10. Performance Optimization & Production Support

• Identify and resolve application performance bottlenecks.
• Optimize backend services, database queries, APIs, and resource utilization.
• Handle production incidents, root cause analysis (RCA), and critical defect resolution.
• Ensure application stability, availability, scalability, and reliability.
• Participate in production releases, monitoring, and post-deployment support.

Mandatory Skills & Experience

• 7+ years of overall experience in software development and backend engineering.
• Strong hands-on experience in Java and Spring Boot.
• Experience in solution architecture and backend application design.
• Strong knowledge of RDBMS and NoSQL databases.
• Experience with microservices and REST API development.
• Exposure to AI/ML, LLM integration, or Agentic AI solutions.
• Experience with CI/CD pipelines and DevOps practices.
• Proven technical leadership and team mentoring experience.
• Hands-on experience in production support and troubleshooting.
• Must have successfully delivered and deployed at least one end-to-end project into a live production environment.
• Experience in VAPT findings analysis and security defect closure.
• Strong analytical, communication, and problem-solving skills.

Good-to-Have Skills

• Python backend development (FastAPI, Flask, or Django).
• Agentic AI frameworks such as LangChain, LangGraph, or similar.
• RAG architecture, vector databases, and LLM integrations.
• Cloud-native application development (AWS/Azure/GCP).
• Docker, Kubernetes, and infrastructure automation.
• Observability, application monitoring, and distributed tracing.

Candidate Expectations

We are looking for someone who is:

• A strong hands-on Java backend engineer with architectural capabilities.
• Experienced in taking projects from design and development to production deployment.
• Comfortable handling production support and critical technical issues.
• Capable of leading a technical team while remaining actively involved in development.
• Familiar with emerging AI/ML and Agentic AI technologies.
• Focused on delivering secure, scalable, reliable, and high-quality solutions.

Pay: ₹977,000.00 - ₹2,270,000.00 per year

Work Location: In person

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