Introduction

At IBM Finance & 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.

You’ll partner with colleagues across functions and geographies, using data, 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

- Architect and implement AI-enabled capabilities, including LLM integrations, intelligent automation, and AI-assisted workflows.
- Collaborate with data engineers, platform engineers, and product teams to integrate AI-powered functionality into enterprise systems.
- Ensure reliability, scalability, performance, and observability through strong engineering and operational practices.
- Provide technical leadership and mentorship to engineers and guide complex design decisions.
- Develop source data pipelines using an ELT (versus ETL) model of data ingestion
- Document data product metadata and AI readiness guidance to support Machine Learning and AI/agentic use cases.
- Tag and classify your data assets to ensure they are used responsibly throughout the organization, applying masking or restricting access where appropriate
- Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource
- Register and maintain the catalog entries for your data products to support discoverability and reuse




- Develop automated and resilient processes that support the end-end delivery of business value
- Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance
- Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users
- Lead the transition from script-based prototypes (e.g., Streamlit/Gradio) to high-performance, custom web applications

Required Technical And Professional Expertise

- Exceptional software and data engineering skills that lead to elegant and maintainable data products
- Expert level proficiency in using SQL for data transformation
- Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.
- Practical experience developing, deploying, or integrating Artificial Intelligence (AI) and Machine Learning (ML) models into production
- Strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one
- Sets and resets the bar on all things quality, from code through to data, and everything in between
- Deep empathy for your users of your data products, leading to a constant focus on removing friction, increasing adoption, and delivering business results
- Prunes and prioritizes work in order to maximize your contributions and impact
- Bias for action and leading by example
- Past experience in building enterprise data products that have a high level of governance and compliance requirements

Preferred Technical And Qualified Experience

- Familiarity with open source or inner source development and processes
- Familiarity of data mesh architectural principles
- Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
- Experience with React (frontend) and Node.js/Fastify (backend)
- Familiarity with Generative AI (GenAI) principles and experience working with large language models (LLMs) or related natural language processing technologies.

📌 Senior Software Engineer (Pune)
🏢 IBM
📍 Pune