Develop scalable cloud solutions and review code for performance
Drive O9-enterprise integrations and data flows
Champion DevOps, automation, and CI/CD
Support backlog refinement, Agile delivery, and engineer mentoring
Benefits
Equity / stock options
Additional Information
WHO YOU'LL WORK WITH
This role reports to the Engineering Manager within the Supply Chain Planning & Technology organization. You will work closely with business users, engineering teams, product managers, and cross-functional stakeholders to ensure O9-based Integrated Business Planning solutions-covering Assortment Planning, Demand Planning, Supply Planning, Inventory Optimization, and Deployment-are designed and implemented to meet operational needs and align with industry best practices.
WHO WE ARE LOOKING FOR
We are seeking a passionate individual who enjoys solving complex business problems across demand and supply planning. The role requires strong experience delivering Integrated Business Planning (IBP) solutions end-to-end, ideally using o9, with hands-on configuration and implementation across the full lifecycle.
As a Lead Software Engineer you will translate business needs into scalable technical designs, lead solution architecture decisions, and drive high-quality delivery in partnership with product and cross-functional teams. Success in this position depends on deep technical leadership, strong problem-solving skills, and the ability to guide teams through ambiguity.
You will also mentor engineers, elevate engineering standards, and help build long-term capability within the planning technology organization.
Required Qualifications
10+ years of experience in architecture, design, and development across IBP domains
Proven expertise in O9 Assortment, Demand or Supply (mandatory). Exposure and hands on working on other planning application like SAP IBP, Kinaxis etc is plus
Strong understanding of planning algorithms, forecasting models, solvers, and data domains
Understanding of ML based forecasting models and implementing workflows for best models.
Exposure to solvers like Gurobi or other open source packages for meeting custom requirements.
Experience in working on AI based development environment like cursor, co-pilot or Nova
Hands-on experience with PL/SQL, data analysis, and scalable cloud-based engineering.
Engineering fundamentals: Java/Python, databases, Git/SVN
Experience with DevOps/CI-CD (Jenkins preferred)
Strong Agile/Scrum experience and excellent communication skills
Lead a team of at least 3-4 people and passion for mentoring and developing engineering capability.