HPE

• Four-year Degree in Supply Chain, Data Analytics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 0-2 years of work experience, preferably in marketing, data analytics, or a related field.
• Proficiency in planning system such as SAP S/4HANA, IBP.
• Preferred Certifications: Analytics Certification.
• Effective Communication.
• Results Orientation.
• Learning Agility.
• Digital Fluency.
• Customer Centricity.

We are looking for a Worldwide Supply Planner to drive end‑to‑end global supply planning across a complex, multi‑regional supply network. This role plays a critical part in ensuring product availability while optimizing inventory, cost, and service levels across regions, manufacturing sites, and suppliers. The successful candidate will partner closely with Demand Planning, Manufacturing, Procurement, Logistics, Finance, and other key stakeholders to translate demand signals into executable, optimized global supply plans.

• Develop and maintain global supply plans aligned with the approved demand forecast.
• Convert unconstrained demand into realistic, constrained supply plans considering capacity, lead time, and material availability.
• Ensure alignment between global plans and regional execution.
• Optimize inventory positioning across regions to meet service level targets.
• Balance safety stock, inventory investment, and aging risk.
• Identify and mitigate excess, obsolete, and slow‑moving inventory risks.
• Identify constraints early and develop mitigation scenarios (reallocation, prioritization, capacity ramp‑ups).
• Act as a central integrator across demand planning, manufacturing, procurement, logistics, and regional teams.
• Facilitate alignment across global and regional stakeholders.
• Lead or support Supply Review discussions within S&OP / IBP.
• Present supply risks, trade‑offs, scenarios, and recommendations to senior leadership.
• Translate executive decisions into executable supply plans.
• Proactively identify global supply risks including supplier, capacity, logistics, and geopolitical disruptions.
• Build and evaluate what‑if scenarios to support decision‑making.
• Monitor and analyze supply planning KPIs (service level, inventory turns, OTIF, plan adherence).
• Drive continuous improvement in planning processes, tools, and data accuracy.
• Support planning system enhancements and automation.

B.Tech or M.Tech in Computer Science or related major.

• B.Tech or M.Tech in Computer Science or related major.

• 0–2 years of hands-on experience (including internships, co-ops, or academic projects) writing high-quality code in languages such as Python, Golang, Java, C, or C++.

• Foundational understanding of Distributed systems, Cloud Native software development, Microservices, and Infrastructure as Code concepts.

• Exposure to Virtual Infrastructure Management software like KVM, OpenStack, Kubernetes, or VMware through coursework, projects, or internships.

• Familiarity with one or more infrastructure components like Cassandra, RabbitMQ, Elastic Search, Docker, Prometheus, or Grafana (hands-on project experience is a plus).

• Interest in writing software with Testability, Observability, and Debuggability in mind for Cloud and On-prem solutions.

• Willingness to learn the challenges of operating large-scale software and hardware systems and contribute to solutions.

• Exposure to deployment and automation tooling such as Ansible, Helm, or Terraform (academic or personal projects acceptable).

• Ability to write code, develop automated test cases, and learn to integrate them into CI/CD pipelines for continuous execution and quality management.

• Understanding of building software leveraging REST or gRPC based APIs.

• Customer-first mindset with interest in building and automating frameworks for UI/UX using modern automation and monitoring tools.

• Attention to detail and willingness to learn monitoring infrastructure concepts such as OpenTelemetry and tools like Datadog or Signoz.

• Actively participate in design discussions, ask questions, and learn from architectural decision-making with cross-functional stakeholders.

• Collaborate well with peers and senior engineers, be receptive to feedback and mentorship, and ramp up quickly on team technologies.

• Curious to learn and stay on top of the latest technology and tooling advancements, stay humble, and contribute to solving customer problems.

Preferred Qualifications:

• Familiarity with AI/ML and AI Agentic frameworks and tools such as LangChain, FastAPI (coursework or projects count).

• Exposure to AIOps/MLOps concepts or tools such as SageMaker, Databricks, Vertex AI, Azure ML, MLFlow.

• Exposure to Cloud Native GitOps tools (ArgoCD, Argo Workflow, etc.).

• Academic publications, hackathon participation, open-source contributions, or involvement in technical communities or professional organizations such as IEEE.

Designs, develops, troubleshoots, and debugs software programs for software enhancements and new products under the guidance of senior engineers. Contributes to software including networking, utilities, databases, and Internet-related tools, and develops an understanding of hardware/software interactions.