Top 11 Site reliability engineer – generative ai platform Jobs in Glendale Ca

Site Reliability Engineer – Generative AI Platform
HTC Global —Burbank, CA
- $114,865.06 - $158,332.13 a year
- Full-time
- Background check
- Computer science
- Azure
- Health savings account
- Relocation assistance
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AI Engineer
GEI Consultants —Pasadena, CA
- $110,000 - $150,000 a year
- Full-time
- Mid-level
- 4 years
- Profit sharing
- Commuter assistance
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Technical Instructor (AWS DevOps)
Per Scholas —Los Angeles, CA
- $60 - $65 an hour
- Part-time
- Remote
- Classroom
- Customer service
- DevOps
- Paid parental leave
- AD&D insurance
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Senior Applied AI Engineer
GrayMatter Robotics —Carson, CA
- $150,000 - $170,000 a year
- Full-time
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Principal Technical Director, AI-Enabled Spectrum Dominance
Voyager Technologies, Inc. —Los Angeles, CA
- $225,000 - $300,000 a year
- Remote
- Master's degree
- Business development
- Doctor of Philosophy
- Wellness program
- Health insurance
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6d
Director, Data Management
Green Dot Corporation —Los Angeles, CA
- $179,700 - $259,900 a year
- Full-time
- Computer science
- Computer Science
- Office

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Technical Instructor (AWS DevOps)
Per Scholas —Columbus, OH
Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes. Additional resources include healthcare concierge…
$60 - $65 an hour
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site reliability engineer – generative ai platform jobs near glendale ca

Site Reliability Engineer – Generative AI Platform

HTC Global -
Burbank, CA

Quick Apply

Job Details

Full-time
$114,865.06 - $158,332.13 a year

Benefits

Health savings account
Relocation assistance
Health insurance
Dental insurance
401(k)
Paid time off
Employee assistance program
Vision insurance
401(k) matching
Employee discount
Life insurance

Qualifications

Containerization systems
Performance monitoring
CI/CD
Azure
Defect resolution root cause analysis
Responding to infrastructure failures
Linux support
Kubernetes
Tooling
Multi-cloud deployment
Infrastructure as Code (IaC)
Improving system uptime or availability
AWS
IT monitoring tools
SRE
Terraform
Production monitoring
Monitoring system implementation
Problem management
Cloud automation
Technical troubleshooting support
Network monitoring tools
DevOps automation
Cloud monitoring
Linux administration
Python
High availability
Failure analysis
Production troubleshooting

Full Job Description

Site Reliability Engineer (SRE)

Overview / Summary

Join a fast-growing engineering organization building highly available, enterprise-scale cloud platforms. Working onsite up to 4 days per week with our local teams in Burbank, CA,

Build and support the cloud infrastructure behind enterprise Generative AI platforms. We are looking for a hands-on SRE with strong Kubernetes, Terraform, automation, and observability experience who is ready to grow into advanced AI platform reliability work.

About the Role

We are seeking a Site Reliability Engineer to support cloud-native infrastructure and platform reliability for enterprise Generative AI and conversational experience platforms.

This role is ideal for a strong hands-on SRE / DevOps / platform engineer who has solid production experience with Kubernetes, Terraform, automation, observability, incident response, and CI/CD, and is ready to grow deeper into multi-cloud and Generative AI platform environments.

You do not need to be the lead architect on day one, but you should be bright, adaptable, technically curious, and able to learn quickly in a fast-moving platform engineering environment.

What You’ll Do

Support Kubernetes-based platform infrastructure for AI and data service workloads.
Build and maintain infrastructure using Terraform and infrastructure-as-code practices.
Assist with Helm chart updates, Kubernetes configuration, deployment automation, and environment management.
Help implement monitoring, alerting, logging, and observability across platform services.
Troubleshoot production issues across Kubernetes clusters, infrastructure, CI/CD pipelines, and distributed systems.
Automate repetitive operational tasks using Python, Bash, Ansible, YAML, or similar tools.
Support deployment pipelines and release processes using CI/CD tools such as Harness, GitHub Actions, GitLab, Jenkins, or Azure DevOps.
Assist with rollout patterns such as canary deployments, blue/green releases, and rollback processes.
Support operational processes including patching, upgrades, backups, capacity planning, and incident response.
Work with senior SREs, architects, developers, DevOps, and security teams to improve reliability and scalability.
Contribute to documentation, runbooks, troubleshooting guides, and platform best practices.
Learn and support backend platform components such as Kafka, PostgreSQL, Redis, Vault, MongoDB, and n8n.

Required Qualifications

4+ years of experience in SRE, DevOps, platform engineering, cloud infrastructure, Linux systems, or related technical roles.
Hands-on experience operating or supporting Kubernetes in a production or high-availability environment.
Experience with Terraform or similar infrastructure-as-code tools.
Scripting or automation experience using Python, Bash, Ansible, YAML, or similar.
Experience with monitoring, logging, alerting, or observability tools such as ELK, Zabbix, Prometheus, Grafana, Splunk, Datadog, AppDynamics, or similar.
Experience troubleshooting incidents, performing root cause analysis, and improving reliability after production issues.
Familiarity with CI/CD concepts and deployment automation.
Strong Linux, networking, infrastructure, or cloud troubleshooting skills.
Ability to learn new tools quickly and work effectively in a fast-paced engineering environment.
Strong communication skills and willingness to collaborate with senior engineers, developers, architects, and business stakeholders.

Preferred Qualifications

Experience with GCP, AWS, or Azure cloud environments.
Exposure to GCP/GKE, AWS/EKS, or Azure/AKS.
Experience with Helm charts.
Exposure to Harness, GitHub Actions, GitLab, Jenkins, or Azure DevOps.
Experience with OpenTelemetry, Prometheus, Splunk, AppDynamics, or similar enterprise observability tools.
Exposure to backend systems such as Kafka, PostgreSQL, Redis, MongoDB, or Vault.
Experience supporting AI, ML, LLM, chatbot, conversational AI, or data platform environments.
Experience with security patching, access controls, secrets management, and production governance.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent relevant experience.

Pay: $114,865.06 - $158,332.13 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Health insurance
Health savings account
Life insurance
Paid time off
Relocation assistance
Vision insurance

Experience:

ands-on with Terraform, Kubernetes, CI/CD: 5 years (Required)
SRE, DevOps, Infrastructure, Platform, or Cloud Operations: 5 years (Required)

Ability to Commute:

Burbank, CA 91502 (Required)

Work Location: In person

Quick Apply

Refine Your Search

site reliability engineer – generative ai platform jobs in glendale ca

Site Reliability Engineer – Generative AI Platform

AI Engineer

Technical Instructor (AWS DevOps)

Senior Applied AI Engineer

Principal Technical Director, AI-Enabled Spectrum Dominance

Director, Data Management

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