Java AI Lead

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 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.

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