Lead Engineer / Sr. Engineer

IBM Computing; Bengaluru; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A global technology leader in India is seeking a Senior Java Engineer to develop high-performance integration components using Java and Spring. This role involves collaborating on AI-driven features and optimizing SaaS performance. The ideal candidate has 7-10 years of Java experience and is skilled in Spring Framework. Join a diverse team committed to innovation and excellence. Competitive benefits and opportunities for personal growth are offered.

Qualifications

• 7-10 years of professional experience in Java development.
• Strong expertise in Spring Framework, Spring Boot, and microservices.
• Hands-on experience with AI projects, integrating AI services.
• Experience with API management and cloud-native development.

Responsibilities

• Design, develop, and maintain integration components for IBM webMethods Hybrid Integration.
• Implement scalable solutions using Java and Spring Framework.
• Collaborate on integrating AI-powered features.
• Optimize performance and ensure compliance with security requirements.
• Mentor junior engineers.

Skills

Java development

Spring Framework

AI integration

Microservices architecture

API lifecycle management

Data security

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Introduction

About the Role

We are looking for a Senior Java Engineer to join our team building IBM webMethods Hybrid Integration, a leading SaaS-based integration platform recognized as a Leader in the Forrester Wave™ for iPaaS.

This product enables enterprises to seamlessly connect APIs, applications, events, messaging, files, and B2B transactions across hybrid and multi-cloud environments.

As part of our engineering team, you will design and develop high-performance, scalable components using Java and Spring, while leveraging AI-driven capabilities to enhance automation and productivity.

Your role and responsibilities

Key Responsibilities

• Design, develop, and maintain enterprise-grade integration components for IBM webMethods Hybrid Integration.

• Implement robust, scalable solutions using Java, Spring Framework, and related technologies.

• Collaborate with product architects to integrate AI-powered features into the platform, including agentic AI and generative AI workflows.

• Work on API management, event-driven architectures, and hybrid integration patterns.

• Optimize performance and reliability for SaaS deployments across multi-cloud environments.

• Ensure compliance with security, governance, and data sovereignty requirements.

• Mentor junior engineers and contribute to best practices in coding, testing, and deployment.

Required technical and professional expertise

Required Skills & Experience

• 7-10 years of professional experience in Java development.

• Strong expertise in Spring Framework, Spring Boot, and microservices architecture.

• 2+ years of hands‑on experience in AI projects, such as:

• Integrating AI services (e.g., LLMs, agentic AI, generative AI).

• Building AI-driven automation or predictive analytics features.

• Experience with API lifecycle management, RESTful services, and event-driven systems.

• Familiarity with cloud-native development and hybrid integration patterns.

• Solid understanding of data security, compliance, and governance in SaaS environments.

• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.

Preferred technical and professional experience

Preferred Qualifications

• Expertise in building SaaS products from scratch, including architecture and scalability considerations.

• Proven track record of AI innovations in enterprise‑grade software.

• Exposure to IBM webMethods or similar integration platforms.

• Understanding of AI ethics and responsible AI practices.

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.