Senior Software Engineer - Data Management

Introduction At IBM Transformation & Operations, we are the backbone of IBM’s transformation driving efficiency, transparency, and smart decision-making across the business. Our teams provide the insight and discipline that guide strategy, ensure financial strength, and enable IBM to invest in innovation and growth. Working in Finance & Operations means combining analytical skills with collaboration and curiosity. A core part of this mission is the Data And AI organization, which is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data & AI strategically for our customers, partners, and associates. The engineering team is focused on building and delivering strategic business capabilities and AI agents built on our Data & AI platform, designed to augment human capabilities, accelerate business workflows, and scale operations across the enterprise.

We are looking for a Senior Software Engineer to join our Data Management team in Bangalore, India. In this role, you will design, develop, and maintain scalable software and data solutions while driving technical solutions for complex engineering problems. You will work across the software development lifecycle, building reliable applications, services, APIs, and data pipelines while adopting modern cloud-native and AI-assisted engineering practices. The ideal candidate is a hands-on engineer who enjoys solving complex technical problems, driving technical decisions, and taking ownership of solutions from design through production.

You will partner with colleagues across functions and geographies, using data, ai, technology, and process excellence to create solutions that improve performance and deliver measurable impact. IBM offers continuous learning, career development, and a culture that values diverse perspectives. Join us and be part of a global team that keeps IBM moving forward, while building your own future in a dynamic and evolving environment.

Your Role And Responsibilities As a Senior Software engineer, you will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions.

What you will do

• Design, develop, test, and maintain scalable software applications, services, APIs, and data solutions.
• Own the design and implementation of complex, scalable, and reliable software and data solutions.
• Build reliable data processing, transformation, integration, and storage capabilities.
• Apply modern software engineering practices across the complete SDLC, including design, coding, testing, debugging, and deployment.
• Leverage AI-assisted and agentic development practices to accelerate coding, testing, debugging, documentation, automation, and engineering workflows.
• Identify and drive adoption of AI-agent-based solutions to automate engineering and data management workflows.
• Build and maintain CI/CD, automation, observability, and monitoring capabilities to improve reliability and developer productivity.
• Apply cloud-native technologies and practices to build scalable and resilient systems.
• Troubleshoot complex technical issues and continuously improve performance, quality, security, and maintainability.
• Provide technical guidance through design reviews, code reviews, mentoring, and engineering best practices.
• Collaborate with software, data, and platform engineers to deliver end-to-end solutions.
• Partner with cross-functional engineering teams to influence architecture, technical direction, and long-term solutions.

Preferred Education Bachelor’s Degree

Required Technical And Professional Expertise What you will bring

• Strong software engineering experience building scalable and maintainable applications or services.
• Proficiency in at least one programming language such as Java, Python, Go, C++, or similar.
• Strong understanding of data structures, algorithms, APIs, databases, software design, and architecture principles.
• Experience with SQL and relational and/or NoSQL databases.
• Experience building data-intensive applications, services, or pipelines.
• Experience with cloud-native development, automation, testing, and CI/CD practices.
• Experience or strong interest in AI-assisted development, AI agents, and Agentic SDLC.
• Strong experience designi…