Career Area:
Technology Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar yourejoining a global team who cares not just about the work we do but also about each other. We are the makers problem solvers and future world builders who are creating stronger more sustainable communities. We dontjust talk about progress and innovation here we make it happen with our customers where we work and live. Together we are building a better world so we can all enjoy living in it.
About the Role
We are hiring a Principal Software Engineer Platform & Services to define and drive the dataasaservice (DaaS) and platform architecture for our Digital Manufacturing & Supply Chain Platform. You will set technical strategy establish standards and lead the design of secure scalable and highperformance service layers that expose curated enterprise and IoT data to downstream consumersapplications analytics and simulation workloadsat global scale.
You will partner closely with Data Engineering and product/architecture leadership to transform data models and pipelines into wellgoverned APIs microservices and event streams enabling realtime insights predictive analytics and digitaltwin experiences. The platform you shape will also power NVIDIA Omniversedriven digital twins and industrial simulation use cases as downstream consumers.
Key Responsibilities
Platform Strategy & Architecture
- Own the endtoend platform & services architecture (API/microservices/eventdriven) and align it to product strategy business outcomes and enterprise standards.
- Define domain boundaries data contracts and service interaction patterns (REST/gRPC/GraphQL pub/sub) for realtime and batch consumption across applications and analytics.
- Set technical standards for API lifecycle management (versioning documentation governance) and drive adoption across teams.
Engineering Excellence & Delivery
- Lead design and review of highthroughput microservices and eventdriven integrations (Kafka/Event Hubs) ensuring reliability elasticity and cost efficiency.
- Champion cloudnative architectures on AWS/Azure container orchestration with Docker/Kubernetes and service reliability practices (SLOs error budgets incident response).
- Establish observability standards (metrics logs traces) and operational readiness integrating with platform telemetry and dashboards.
Security Compliance & Governance
- Enforce API and data security (OAuth2 JWT) rolebased access control and compliancebydesign across services and data products.
- Drive consistent data governance for platformexposed datasets collaborating with Data Engineering on lineage quality and stewardship.
CrossFunctional Leadership
- Partner with Data Engineering product and manufacturing domain experts to align service design with digitaltwin/Omniverse and analytics use cases; ensure performance for lowlatency scenarios (e.g. predictive maintenance dynamic scheduling).
- Mentor Lead/Senior engineers; uplift teams in API design microservices DevOps automation and platform reliability practices.
- Evaluate and guide tool/vendor choices (API gateways/management observability stack) and codify best practices across the organization.
Required Qualifications
- Bachelors or Masters in Computer Science Engineering or related field.
- 1418 years of professional software engineering experience including significant time in platform integration or largescale distributed systems roles.
- Deep expertise in API development (REST gRPC GraphQL) and microservices architecture; handson with event streaming (Kafka/Event Hubs).
- Strong proficiency with cloud platforms (AWS/Azure) container orchestration (Docker/Kubernetes) and CI/CD at scale.
- Demonstrated leadership in securityfirst designs (OAuth2/JWT RBAC) and observability (metrics/logs/traces) for production platforms.
- Excellent communication and stakeholder management; ability to influence architecture and execution across multiple teams.
Preferred Qualifications
- Experience with API management platforms and developer portals; strong documentation and governance discipline.
- Familiarity with data virtualization/semantic layers for enterprise analytics and selfservice consumption.
- Handson exposure to OpenUSD/Omniverse integrations as downstream consumers of platform services (for digitaltwin and simulation scenarios).
- Working knowledge of Industry 4.0 data and integration patterns across MES/SCADA/PLM/ERP ecosystems relevant to manufacturing platforms.
- Contributions to opensource projects or publications in platform engineering largescale APIs or industrial digital platforms.
Posting Dates:
January 22 2026 - January 28 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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