PUNE · FULLTIME
Senior Software Engineer
IBM
Pune · onsite · Posted 29d ago
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Undisclosed5–10 yrsfulltimePune
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Section · 01
About this role
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 education
Bachelor''s Degree
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 professional 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.
Years of Experience: : - 5- 10
Sourced from naukri
Section · 02
Skills
AutomationData ingestionfivetranenterprise systemsdata transformationapache airfloweltdbtintegrationsLarge Language Models (LLMs)FastifyData EngineeringJavascriptJavacomplianceETLGenerative AiData PipelineArtificial Intelligence
Section · Company
About IBM
IBM
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