About the Role

The Java AI Lead will be responsible for leading the design, development, and maintenance of enterprise-grade applications, ensuring high standards of quality and performance.

Responsibilities

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.

Modernisation Delivery

Analyse and reverse engineer legacy applications, interfaces, data flows and business rules.
Translate legacy functionality into up-to-date 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.

GCP/AWS 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.

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.

Ownership and Collaboration

Work independently with minimal supervision while proactively escalating risks, decisions and dependencies.
Collaborate with architects, product owners, domain SMEs, platform teams, security teams, testers and SRE/operations teams.
Mentor engineers, promote engineering standards and contribute constructively to design and code reviews.
Demonstrate accountability for committed outcomes, quality, timelines and production readiness.

Qualifications

Experience Range - 9-14 Years

Location - Bangalore & Noida

Required Skills

Proficiency in Java, J2EE, Spring Boot
Experience with microservices and REST APIs
Knowledge of cloud platforms like GCP and AWS
Understanding of security practices in software development

Preferred Skills

Experience with Docker and Kubernetes
Familiarity with CI/CD pipelines
Knowledge of OWASP guidelines

📌 Java AI Lead (Bengaluru)
🏢 Coforge
📍 Bengaluru