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Pipeline Controller Operator Jobs in California (NOW HIRING)

Senior DevOps, Platform Engineer

Glendale, CA · On-site

$138K - $177K/yr

... operators/controllers • Strong Linux shell scripting (bash/sh) for automation, system administration, and pipeline scripting Preferred : • Exposure to AI-assisted DevOps tooling -- anomaly ...

Senior DevOps, Platform Engineer

Glendale, CA · On-site

$138K - $177K/yr

... operators/controllers • Strong Linux shell scripting (bash/sh) for automation, system administration, and pipeline scripting Preferred : • Exposure to AI-assisted DevOps tooling -- anomaly ...

Unjammable fiber optic and AI controlled drones are making the threat cheaper, faster, and harder ... time video pipelines • Deploy and optimize models on embedded GPUs (NVIDIA Jetson) • Push ...

Talent AI Operator

San Francisco, CA · On-site

$22 - $26.75/hr

Think air traffic controller, not pilot. Our AI agents handle the volume; your job is to supervise ... Supervise AI agent pipelines: Monitor live candidate conversations, flag errors, and intervene when ...

Talent AI Operator

San Francisco, CA · On-site

$22 - $26.75/hr

Think air traffic controller, not pilot. Our AI agents handle the volume; your job is to supervise ... Supervise AI agent pipelines: Monitor live candidate conversations, flag errors, and intervene when ...

... pipeline, renewals, churn, discounting, productivity, and sales capacity. This is a highly visible ... Sales finance operating leadership: Run the financial rhythm for cloud sales, including annual ...

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Pipeline Controller Operator information

What is a pipeline controller operator?

Pipeline Controller Operators are professionals responsible for monitoring and managing the flow of oil, gas, or other materials through pipelines. They use advanced control systems and technology to ensure safe, efficient, and continuous pipeline operations. Their duties include detecting leaks, responding to emergencies, maintaining regulatory compliance, and coordinating with field personnel to address any issues. This role is critical for preventing environmental hazards and ensuring the reliable delivery of resources.

What skills and qualifications are needed to be a pipeline controller operator?

To thrive as a Pipeline Controller Operator, you need strong analytical skills, attention to detail, and typically a background in engineering, operations, or a related technical field. Familiarity with Supervisory Control and Data Acquisition (SCADA) systems, pipeline monitoring software, and relevant safety certifications such as API or DOT compliance is essential. Outstanding situational awareness, problem-solving abilities, and effective communication are important soft skills for this role. These competencies are crucial to ensure the safe, efficient, and uninterrupted operation of pipeline systems, preventing environmental hazards and maintaining regulatory compliance.

What is the difference between Pipeline Controller Operator vs Pipeline Technician?

AspectPipeline Controller OperatorPipeline Technician
CredentialsTypically requires a high school diploma, technical certifications, and safety trainingRequires similar certifications, often with additional technical or mechanical training
Work EnvironmentControl rooms, monitoring stations, and field sitesFieldwork, maintenance sites, and equipment inspection areas
Industry UsageUsed in oil, gas, and pipeline industries for monitoring and controlInvolved in installation, maintenance, and repair of pipelines

The Pipeline Controller Operator primarily monitors and controls pipeline operations from control centers, ensuring safety and efficiency. In contrast, the Pipeline Technician focuses on maintaining and repairing pipeline infrastructure in the field. Both roles require technical certifications and safety training, but their daily tasks and work environments differ significantly.

What are common challenges faced by pipeline controller operators and how can they be addressed?

Pipeline Controller Operators often face challenges such as monitoring large volumes of data simultaneously, responding quickly to abnormal operating conditions, and effectively communicating with field personnel during emergencies. Staying vigilant and maintaining strong attention to detail are crucial, as a small oversight can lead to significant safety or environmental incidents. Continuous training on updated control systems and emergency protocols, as well as fostering strong teamwork and communication skills, can help operators successfully manage these challenges.
What are popular job titles related to Pipeline Controller Operator jobs in California? For Pipeline Controller Operator jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Pipeline Controller Operator jobs? Cities in California with the most Pipeline Controller Operator job openings:
Infographic showing various Pipeline Controller Operator job openings in California as of August 2026, with employment types broken down into 40% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Senior DevOps Lead - Cloud & Autonomous System

Cyngn

Mountain View, CA • Remote

$153K - $197K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles - specifically autonomous tuggers - to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: 
 
We are small and big.
With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we're publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders-they also get access to the liquidity of our publicly-traded equity.
 
We build today and deploy tomorrow.
Our autonomous vehicles aren't just test concepts-they're deployed to real clients right now. That means your work will have a tangible, visible impact.
 
We aren't robots. We just develop them.
We're a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters-and that's what powers our innovation.
 
 
About this Role:
As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.
What you will do in this role
  • Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments 
  • Design and implement scalable solutions for both cloud services and autonomous vehicle systems 
  • Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code 
  • Design, develop, and operate production Kubernetes platforms (EKS and edge/lightweight distributions), including cluster lifecycle and upgrades, multi-tenancy, RBAC, networking (CNI, ingress, service mesh), autoscaling, and workload reliability
  • Develop reusable Kubernetes deployment tooling and packaging (Helm charts, Kustomize overlays, GitOps with Argo CD/Flux) and, where needed, custom controllers/operators and CRDs to automate platform operations
  • Develop and own the Terraform codebase as a product: reusable modules, remote state and workspace strategy, versioning and release process, provider upgrades, drift detection, policy-as-code guardrails, and automated plan/apply pipelines
  • Drive observability, monitoring, and incident response strategies 
  • Optimize performance and cost efficiency of cloud and edge computing resources 
  • Mentor team members and foster a developer-friendly environment 
  • Manage on-call rotations and incident response processes 
  • Architect solutions for processing and storing large-scale vehicle telemetry data 
  • Lead security initiatives and compliance efforts across infrastructure 
  • Design and implement solutions for both cloud services and autonomous vehicle systems 
  • Optimize system performance for real-time processing of high-bandwidth sensor data 
  • Develop and maintain documentation for system architecture and integration procedures
Who you are
  • 10+ years of relevant DevOps/Infrastructure experience
  • Proven track record as a technical lead in platform or infrastructure teams
  • Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
  • 5+ years of hands-on Kubernetes development and operations at production scale, including cluster architecture and upgrades, RBAC and admission control, networking and ingress, resource requests/limits and autoscaling (HPA/VPA/Cluster Autoscaler/Karpenter), and troubleshooting workloads end to end
  • 5+ years writing production Terraform, with proven authorship of reusable modules, remote state/workspace design, provider and version upgrade strategy, and CI-driven plan/apply workflows with code review and automated testing
  • Strong experience with service mesh (Istio) and Helm/Kustomize
  • Deep understanding of ROS/ROS2 and Linux kernel configurations
  • Experience with GPU configurations and ML infrastructure
  • Expertise in ARM and NVIDIA CUDA platform configurations
  • Strong programming skills in Python and shell scripting
  • Experience with infrastructure automation (Ansible)
  • Expertise in CI/CD tools (Jenkins, GitHub Actions)
  • Strong system architecture and design skills
  • Excellence in technical documentation
  • Outstanding problem-solving abilities
  • Strong leadership and mentoring capabilities
Nice to haves
  • Experience with autonomous vehicle systems
  • Track record of optimizing GPU-based ML infrastructure
  • Experience with large-scale IoT deployments
  • Contributions to open-source projects
  • Experience with real-time systems and low-latency requirements
  • Expertise in security implementations including SSO, IdP, and AWS Cognito
  • Experience with JFrog artifactory and container registry management
  • Proficiency in AWS IoT Greengrass
  • Experience with container resource management on edge devices
  • Understanding of CPU affinity and priority scheduling
  • Track record of implementing cost optimization strategies
  • Experience with scaling systems both horizontally and vertically
  • Contributions to Kubernetes or Terraform ecosystem projects (upstream code, operators, providers, or published modules)
  • Experience running GitOps at scale (Argo CD/Flux) across multiple clusters and environments, including progressive delivery (Argo Rollouts, canary/blue-green)
  • Experience authoring custom Terraform providers or extending Terraform with external data sources and automation
  • Certifications such as CKA/CKAD/CKS or HashiCorp Certified: Terraform Associate
Benefits & Perks
  • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
  • Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
  • Company 401(k)
  • Commuter Benefits
  • Flexible vacation policy
  • Sabbatical leave opportunity after five years with the company
  • Paid Parental Leave
  • Daily lunches for in-office employees
  • Monthly meal and tech allowances for remote employees
$198,000 - $225,000 a year
 
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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