Senior AI Full Stack Java Developer

Tekskills Inc.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tekskills Inc. seeks a skilled full-stack engineer to design, develop, and maintain enterprise-grade applications using Java/J2EE, Spring Boot, and Angular.

You will implement microservices, REST APIs, and secure authentication with OAuth2/JWT while embracing DevSecOps and AI-driven development. You will collaborate with Agile teams on design, estimation, and requirements, perform code reviews, troubleshoot production issues, and help improve performance and security across cloud-native

Qualifications

• Proven experience with Java/J2EE, Spring Boot, and Angular.
• Strong expertise in Microservices and REST API development.
• Hands-on with Java EE techs (JDBC, JTA, JCA, JNDI, JAF, JavaMail).
• Experience with Generative AI concepts including Prompt Engineering and RAG.
• Knowledge of OAuth2, JWT, secure coding, and API security.
• Experience in CI/CD pipelines, Git, Jenkins, Docker, Kubernetes, OpenShift.
• Solid understanding of DevSecOps, automation, and cloud-native development.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Design, develop, and maintain enterprise-grade full-stack apps using Java/J2EE, Spring Boot, Angular, and Microservices.
• Drive AI-assisted software engineering leveraging Generative AI tools.
• Build secure, scalable applications following MVC and modular design.
• Develop and integrate REST APIs, third-party services, databases, and OAuth2/JWT auth.
• Apply AI engineering concepts including Prompt Engineering and RAG.

Skills

Java/J2EE

Spring Boot

Angular

Microservices

REST APIs

OAuth2

JWT

Security best practices

API security

CI/CD

Git

Jenkins

Docker

Kubernetes

OpenShift

DevSecOps

Automation

Cloud-native

Troubleshooting

Analytics

Communication

Stakeholder mgmt

Financial services

AI governance

LLM security

Ethical AI

Regulatory compliance

Performance tuning

Code quality

Best practices

SAS Enterprise Miner

Tools

Docker

Kubernetes

OpenShift

Git

Jenkins

Job description

Key Responsibilities

• Design, develop, and maintain enterprise-grade full-stack applications using Java/J2EE, Spring Boot, Angular, and Microservices.
• Drive AI-assisted software engineering by leveraging Generative AI tools to improve development productivity, quality, and compliance.
• Build secure, scalable, and maintainable applications following MVC architecture, modular design, and dependency injection principles.
• Develop and integrate REST APIs, third-party services, databases, and authentication mechanisms using OAuth2 and JWT.
• Apply advanced AI engineering concepts, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI quality/compliance controls.
• Collaborate with Agile teams for solution design, estimation, technical discussions, and requirement refinement.
• Perform code reviews, troubleshoot production issues, optimize application performance, and support incident resolution.
• Implement DevSecOps best practices, CI/CD pipelines, automated testing, containerization, and Kubernetes/OpenShift deployments.
• Evaluate emerging technologies and recommend innovative solutions to improve engineering capabilities.
• Ensure adherence to security, regulatory compliance, AI governance, ethical AI practices, and cyber risk management.

Required Skills

• Strong experience in Java/J2EE, Spring Boot, and Angular.
• Expertise in Microservices architecture and REST API development.
• Experience with Java EE technologies such as JDBC, JTA, JCA, JNDI, JAF, and JavaMail.
• Hands-on experience with Generative AI, Prompt Engineering, and RAG frameworks.
• Knowledge of OAuth2, JWT, secure coding practices, and API security.
• Experience with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes, and OpenShift.
• Good understanding of DevSecOps practices, automation, and cloud-native application development.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Preferred Skills

• Experience in Financial Services or Banking domain.
• Exposure to AI governance, LLM security, ethical AI, and regulatory compliance.
• Experience with performance tuning, code quality tools, and engineering best practices.
• Familiarity with SAS Enterprise Miner or related AI/analytics platforms is an added advantage.