Coforge - Senior Technical Lead - Java

About the job :

Job Title : Senior Technical Lead (Java + AI)

Experience : 9 - 17 years

Location : Bengaluru/Greater Noida

Notice Period : Immediate/ Serving Notice/ Max 30 Days

We at Coforge are hiring Senior Technical Lead (Java + AI) with the following skillset.

We are seeking a highly capable, hands-on Senior Technical Developer to contribute to a large-scale technology modernisation programme. The role requires deep Java/J2EE engineering expertise, strong cloud-native development skills, and the ability to use both AI-assisted tools and AI-agentic engineering approaches to accelerate delivery without compromising quality, security, compliance, maintainability or operational resilience. The successful candidate will work with minimal supervision, take end-to-end ownership of assigned outcomes, and contribute across analysis, design, build, testing, deployment and production-readiness activities.

Prior experience in airline, travel or GDS platforms is strongly preferred.

Key Responsibilities :

1.

Java and Application Engineering :

• Java 11/17 or later
• J2EE/Jakarta EE
• Spring Boot
• Spring Framework
• Spring Data/JPA
• Hibernate
• REST/JSON/XML
• Maven or Gradle; unit and integration testing.

2.

Architecture and Integration :

• Microservices
• API-first design; event-driven architecture; distributed systems; resilience patterns; domain-driven design; synchronous and asynchronous integration.

3. Cloud, Containers and DevOps :

• Google Cloud Platform
• GKE
• Docker
• Kubernetes
• Helm or equivalent
• Git
• CI/CD; infrastructure/configuration awareness; logging, monitoring and observability.

4.

Data Engineering :

• Strong SQL; relational databases such as Oracle or PostgreSQL; schema design; query optimisation; transaction management; exposure to NoSQL or messaging platforms is advantageous.

5.

Engineering Quality :

• Test automation; code coverage; static analysis; dependency management; performance engineering; peer review; production troubleshooting and root-cause analysis.

6.

Security and Compliance :

• OWASP Top 10; secure coding
• IAM; secrets management; encryption
• API security; vulnerability remediation
• DevSecOps controls; audit and change-management discipline.

7. Hands-on Software Engineering :

• Design, develop, test and maintain enterprise-grade applications using Java, J2EE, Spring Boot and related frameworks.
• Build secure, scalable and resilient microservices, REST APIs and event-driven components.
• Apply clean-code, SOLID, domain-driven design and twelve-factor application principles.
• Produce maintainable, testable and production-ready code with appropriate technical documentation.
• Perform code reviews, troubleshoot complex issues, optimise performance and reduce technical debt.

8.

Modernisation Delivery :

• Analyse and reverse engineer legacy applications, interfaces, data flows and business rules.
• Translate legacy functionality into modern service boundaries, APIs and cloud-native implementation patterns.
• Contribute to solution design, decomposition, dependency analysis, migration planning and cutover readiness.
• Create reusable engineering accelerators, templates and reference implementations for modernisation squads.

9.

GCP and GKE Engineering :

• Develop, containerise and deploy workloads on Google Kubernetes Engine within Google Cloud Platform.
• Work with Docker, Kubernetes manifests or Helm, configuration management, secrets, service accounts, ingress and workload identity.
• Contribute to CI/CD pipelines, automated quality gates, observability, logging, monitoring and production support.
• Engineer for reliability, scalability, fault tolerance, cost awareness and operational supportability.

10. Security, Risk and Compliance :

• Apply secure-by-design and privacy-by-design practices throughout the software development lifecycle.
• Follow OWASP guidance, secure coding standards, least-privilege access, secrets management, encryption and API security practices.
• Remediate vulnerabilities identified through SAST, DAST, software composition analysis, container scanning and penetration testing.
• Maintain traceability and evidence required for enterprise governance, audit, change management and regulatory compliance.
• Ensure AI-generated outputs are reviewed, validated and handled in accordance with data classification, intellectual-property and responsible-AI policies.

11. AI-related Skill Requirements :

• Candidates should demonstrate practical capability in both AI-assisted engineering and AI-agentic engineering. Tool familiarity alone is not sufficient; the candidate must be able to apply these capabilities responsibly within an enterprise delivery environment.