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
