8 cloud ops engineer jobs at 4 companies in Manteca, CA
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Senior Cloud Operations Engineer - AI Cloud Ops
San Ramon, California, United States
$130k-$170k/yrHybridFull Time
PTCNASDAQ: PTC: Provides industrial software for design, manufacturing, and service operations.
3+ YOE3+ years cloud operations/DevOps experience; strong AWS and Linux skills; Kubernetes/EKS, Terraform, Ansible, CI/CD, monitoring/observability experience; hands-on AI tools (GitHub Copilot, AWS Kiro, Claude Code, Codex); ability to commute to San Ramon 2-3x/week.
Research Triangle Park or San Jose or Milpitas or Richardson or Santa Clara
$127k-$182k/yrHybridFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
5+ YOE5+ years SRE/Cloud Ops experience, Docker and Kubernetes proficiency, scripting in Python/Go/Bash, monitoring and incident response experience, Linux and networking knowledge, CI/CD and IaC familiarity, bachelor’s degree or equivalent.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEPhD or MS in Computer Science or related field; 5+ years ML experience; strong programming (Python/Java); cloud experience (Azure/AWS); ML/LLM Ops; production deployments; strong communication.
onsemi: Designs and manufactures semiconductor solutions for power and sensing.
10+ YOE5+ MgmtMaster’s or PhD in Engineering/CS/DS/Business; 10+ years in product management/ownership/digital transformation; 5+ years in leadership; AI/ML or analytics in manufacturing; strong semiconductor knowledge; excellent communication.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOE5+ years ML engineering in generative AI; strong Python and PyTorch/TensorFlow; Docker/ML Ops; cloud platforms AWS/Azure; knowledge of transformers and diffusion; experience with GPU infrastructure.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
7+ YOE5+ MgmtAdvanced degree or equivalent; 5+ years engineering leadership managing data infrastructure/ML data ops and 7+ years building large-scale ETL/ELT pipelines; expertise in ML data lifecycles, data quality/governance/versioning/annotation, cloud data tech, and generative-model data.