Senior Manager Software Engineering-dataops/mlops/aiops/devops

Caterpillar Inc.

**
Data engineering
Ml ops
DevOps
** Caterpillar Inc. is seeking a Senior Engineering Manager to oversee Data, ML, DevOps, and AI Ops operations, focusing on the design and deployment of enterprise-scale data platforms and machine learning systems. The role requires extensive experience in software engineering leadership and aims to enhance operational efficiency and reliability through advanced analytics and intelligent automation. **

Job Summary

  • We are seeking a Senior Engineering Manager to lead our Data, ML, DevOps, and AI Ops capabilities, driving the design, development, deployment, and intelligent operation of enterprise-scale data platforms, machine learning systems, and cloud-native infrastructure.
  • This role is accountable for operationalizing data and AI at scale —ensuring reliability, performance, security, and continuous optimization across data pipelines, ML platforms, application infrastructure, and production environments.
  • Lead talent development, hiring, and organizational design , building a high-performing, globally scalable engineering organization.

Matching Summary

Match Score: 75

** Caterpillar Inc. is seeking a Senior Engineering Manager to oversee Data, ML, DevOps, and AI Ops operations, focusing on the design and deployment of enterprise-scale data platforms and machine learning systems. The role requires extensive experience in software engineering leadership and aims to enhance operational efficiency and reliability through advanced analytics and intelligent automation. **

Skills & Requirements

Must-have

  • Data Engineering
  • ML Ops
  • DevOps
  • AI Ops
  • cloud-native data platforms
  • CI/CD pipelines
  • infrastructure-as-code

Nice-to-have

  • AI Ops platforms
  • intelligent observability
  • incident automation
  • feature stores
  • model registries
  • event-driven architectures
  • SRE practices
  • resilience engineering

Key Requirements

  • 15+ years of experience in software, data, or platform engineering
  • 5+ years in senior engineering leadership roles
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience with container orchestration (Docker, Kubernetes)

Work Rights

Not specified

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