Senior Software Engineer – Product Information Capabilities

General Mills

. Lead the design, configuration, and improvement of STIBO STEP product information capabilities, including data models, workflows, business rules, and user interfaces .

Posted 11/3/2026full-timeMumbai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in STIBO STEP configuration and development, including data models and workflows, while leading the design and implementation of LLM-powered solutions. Proven ability to mentor teams, improve product data accuracy, and align cross-functional partners in a product-data-intensive environment.

Highest-signal resume keywords

STIBO STEP ConfigurationLLM-Powered Solutions DesignEnterprise API DevelopmentJavaScript ProficiencyProduction Support Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

STIBO STEPData ModelsWorkflowsBusiness RulesLLM SolutionsMCP ServersREST APIsGraphQLXSLTJSON

Soft Skills

Clear CommunicationMentoringInfluencing

Tools & Technologies

Google Cloud PlatformMicrosoft AzureDevOps Practices

Certifications & Qualifications

STIBO STEP Certification

Industry Keywords

Consumer Packaged GoodsManufacturingProduct-Data-Intensive EnvironmentsRetailer Syndication Platforms

Tech Stack

Tools & technologies

AzureCloudGoogle Cloud PlatformGraphQLJavaScript

About the role

Key responsibilities & impact

Lead the design, configuration, and improvement of STIBO STEP product information capabilities, including data models, workflows, business rules, and user interfaces
Build and support integrations between STIBO STEP, enterprise systems, and retailer channels
Define and deliver the strategy for applying LLMs and MCP servers to STIBO STEP and product-data workflows
Contribute to LLM/MCP solution design and implementation
Prioritize AI use cases, establish secure data access and governance, evaluate solution quality, and guide pilots into production
Improve product-data accuracy, completeness, and usability through validation, governance, automation, and digital-content capabilities
Own production support for critical issues, coordinate resolution, improve reliability, and implement durable fixes
Promote engineering practices through code reviews, testing, documentation, and delivery automation
Align cross-functional business and technology partners
Mentor engineers and share technical knowledge across teams

Requirements

What you’ll need

Bachelor’s degree in computer science or a related technical discipline, or equivalent relevant experience
At least 9 years of professional software-engineering experience, including designing and delivering enterprise applications
Hands-on experience configuring and developing STIBO STEP, including data models, workflows, and business rules
Hands-on experience designing, building, and deploying LLM-powered solutions and MCP servers
Ability to shape LLM/MCP strategy and architecture and lead adoption from concept through production
Experience with enterprise APIs and structured data such as JSON and XML
Practical experience with REST APIs and/or GraphQL
Strong JavaScript skills
Working knowledge of XSLT
Experience delivering product data through syndication or integration platforms
Ability to own complex work and troubleshoot production issues
Ability to communicate clearly with business and technology partners
Ability to mentor or influence teammates
STIBO STEP certification preferred
Experience with retailer syndication platforms such as PDX, 1WS, or Syndigo preferred
Experience with Google Cloud Platform or Microsoft Azure and DevOps practices preferred
Experience with LLM evaluation, agent orchestration, model monitoring, or production cost and performance optimization preferred
Experience in consumer packaged goods, manufacturing, or other product-data-intensive environments preferred
Applicants must meet minimum age qualifications in the country in which the job is located

Benefits

Comp & perks

Learning opportunities and exposure to new perspectives
Opportunity to shape technical direction and grow team capability
Mentoring and knowledge-sharing opportunities
Preferred access to DevOps practices, cloud platforms, and emerging AI capabilities through the role