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Senior Deployment Engineer Jobs in Riverside, CA

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure ...

Senior Electrical Engineer

Tustin, CA · On-site

$110K - $125K/yr

Senior Electrical Engineer Location(s): Tustin, CA - Onsite Compensation: $110,000- $125,000 About ... deployment. Responsibilities: * Design system architecture and interfaces, including electrical ...

Senior Electrical Engineer

Tustin, CA · On-site

$110K - $125K/hr

Senior Electrical Engineer Location(s): Tustin, CA - Onsite Compensation: $110,000- $125,000 About ... deployment. Responsibilities: * Design system architecture and interfaces, including electrical ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize ...

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this ... deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize ...

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$121K - $166K/yr

The Senior IT & Security Operations Engineer will manage IT infrastructure to ensure the robotics ... deployment, patch management, and compliance enforcement. Define and maintain the golden ...

Sr DevOps Engineer - Lead

Irvine, CA · On-site

$112K - $190K/yr

Seeking a Senior DevOps Engineer to Drive Global DevOps Excellence at Ingram Micro, a global leader ... Develop and maintain robust CI/CD pipelines for automated application and infrastructure deployment ...

Sr DevOps Engineer - Lead

Irvine, CA · On-site +1

$112K - $190K/yr

Seeking a Senior DevOps Engineer to DriveGlobal DevOpsExcellence at Ingram Micro, a global leader ... Develop andmaintainrobust CI/CD pipelines for automated application and infrastructure deployment ...

Sr Applied AI Engineer

Irvine, CA · On-site

$131K - $173K/yr

Role Summary We are seeking a Senior AI Engineer to join a highly strategic innovation group ... deployment, and monitoring • Optimize model performance, scalability, reliability, and ...

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$113K - $153K/yr

... Senior IT & Security Operations Engineer to manage their IT infrastructure. This role involves ... deployment, patch management, and compliance enforcement. • Operate the office and lab network ...

Sr. Network Engineer (CA)

Irvine, CA · On-site

$150K - $180K/yr

Senior Network Engineer (Hybrid) Are you a hands-on Network Engineer who thrives on solving complex ... Ability to travel up to 20% initially for site deployments (dropping to 5 10%). Role Details ...

Sr. Product Engineer - Cloud Automation

Redlands, CA · On-site

$56 - $75/hr

To simplify deployment and management, Esri develops advanced automation tools that streamline ... The ArcGIS Enterprise team is seeking a Sr. Cloud Automation Engineer to partner closely with ...

Senior IT & Security Operations Engineer

Irvine, CA · On-site

$114K - $155K/yr

Learn more at About the Job Field AI is looking for a senior hands-on IT infrastructure engineer to ... Experience standing up or maturing a JumpCloud deployment from the ground up * Background ...

Showing results 21-40

Senior Deployment Engineer information

See Riverside, CA salary details

$62.1K

$132K

$191.4K

How much do senior deployment engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior deployment engineer in Riverside, CA is $132,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $149,700.00 per year, depending on experience, location, and employer.

What does a senior deployment engineer do?

A Senior Deployment Engineer is responsible for overseeing and executing the deployment of software applications, systems, or updates into production environments. They collaborate with development, QA, and operations teams to ensure smooth and efficient releases, often automating deployment processes and troubleshooting issues that arise. Senior Deployment Engineers also create and maintain deployment documentation, implement best practices for continuous integration and deployment (CI/CD), and may mentor junior team members. Their role is crucial for minimizing downtime and ensuring high-quality software delivery.

What are the key skills and qualifications needed to thrive as a senior deployment engineer?

To thrive as a Senior Deployment Engineer, you need expertise in software deployment processes, scripting languages (such as Python or Bash), and a strong understanding of CI/CD pipelines, typically supported by a degree in computer science or related experience. Familiarity with deployment automation tools (like Jenkins, Ansible, or Kubernetes), cloud platforms (AWS, Azure), and infrastructure-as-code systems is crucial. Strong problem-solving abilities, attention to detail, and effective communication help you manage complex deployments and collaborate across teams. These skills ensure reliable, scalable, and secure delivery of applications, minimizing downtime and supporting business goals.

What are some common challenges faced by senior deployment engineers during large-scale software rollouts?

Senior Deployment Engineers often encounter challenges such as coordinating across multiple teams to ensure seamless integration, managing unexpected issues that arise during the rollout, and ensuring minimal downtime for end users. They also need to handle complex infrastructure environments and adapt deployment strategies to suit different systems and technologies. Strong communication skills and proactive planning are essential to navigate these challenges effectively.

What cities near Riverside, CA are hiring for Senior Deployment Engineer jobs?

Cities near Riverside, CA with the most Senior Deployment Engineer job openings:

Senior Machine Learning Platform Engineer

FieldAI

Irvine, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior engineers.
Responsibilities:
• Design and manage scalable ML infrastructure with IaC tools (Terraform, CloudFormation).
• Develop and optimize cloud-based pipelines for training, evaluation, and inference on multimodal datasets.
• Build and operate data systems for large-scale video ingestion, indexing, and storage.
• Maintain MLOps workflows for versioning, experiment tracking, reproducibility, and CI/CD.
• Ensure reliability and observability with monitoring, logging, and alerting.
• Collaborate with AI/ML Engineers to productionize workflows.
• Optimize infrastructure for performance and cost across cloud and edge.
• Enforce best practices in security, compliance, and maintainability.
• Mentor and manage junior engineers, providing technical guidance and career development.
Qualifications:
Required:
• Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience).
• 4+ years of industry experience in ML infrastructure or platform engineering.
• Strong coding skills in Python/TypeScript and a strong foundation in software engineering best practices.
• Proven experience with distributed systems, cloud platforms (AWS preferred), containerization and orchestration (Docker, Kubernetes/EKS, Ray), and serverless.
• Hands-on experience building ML pipelines for distributed training and large-scale inference.
• Strong knowledge of data management at scale, including preprocessing and retrieval of video/image datasets.
• Proficiency with CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), and automation.
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
• Experience with system monitoring and observability in production.
Preferred:
• Experience with vector databases (OpenSearch, Pinecone, Weaviate) for indexing and retrieval.
• Familiarity with distributed training frameworks (Horovod, DDP/FSDP, DeepSpeed, Ray).
• Hands-on experience with GPU orchestration and auto-scaling (Karpenter, SageMaker, EKS).
• Experience with agentic AI deployment workflows, orchestration frameworks, and retrieval-augmented generation.
• Strong knowledge of security and compliance in ML and cloud environments.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.