Senior CloudOps Engineer

Domo; American Fork (UT); On-site; USD 140,000 - 200,000; Full time

Job summary

Domo is seeking a Senior CloudOps Engineer to design and maintain scalable infrastructure for our AI-driven platform. You will collaborate with engineering and operations to streamline deployments, boost reliability, and optimize cloud environments.

Ideal candidates have extensive automation experience, strong scripting skills, and a passion for site reliability. Join a fast-paced team focused on building scalable, secure, and compliant cloud systems.

Qualifications

• 5+ years in CloudOps, DevOps, SRE, or infra roles.
• 3+ years in a SaaS environment.
• Bachelor's degree in CS, SE, IT, or related field.
• Expertise in AWS, GCP, or Azure; certifications preferred.
• Strong IaC experience with Terraform/CloudFormation.

Responsibilities

• Design, build, and maintain scalable infrastructure on cloud platforms.
• Automate provisioning and configuration management using IaC tools.
• Manage AI tooling and infra to support product initiatives.
• Develop tooling to automate and monitor operational tasks.
• Monitor health, troubleshoot issues, and improve reliability.
• Collaborate with engineers to improve scalability, availability, and security.
• Lead incident response and post-mortems.
• Develop and manage CI/CD pipelines for rapid deployments.
• Drive CloudOps best practices and continuous improvements.

Skills

CloudOps

SRE

Automation

CI/CD

Python scripting

Linux administration

Git

Monitoring & logging

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Ansible

SaltStack

Docker

Kubernetes

Jenkins

GitHub Actions

Job description

Company Overview

Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.

Company Overview

Domo's AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI.

Position Summary

As a Senior CloudOps Engineer at Domo, you will play a crucial role in designing, implementing, and maintaining scalable and reliable infrastructure to support our data-driven AI platform. You will collaborate closely with engineering, product, and operations teams to streamline deployment pipelines, improve system reliability, and optimize cloud environments. If you thrive in a fast-paced environment and have a passion for automation, optimization, and software development, we want to hear from you!

Key Responsibilities

• Design, build, and maintain scalable infrastructure using cloud platforms (AWS, GCP, or Azure)


• Automate provisioning, configuration, and management of infrastructure using Terraform, Ansible, or SaltStack


• Manage AI tooling and infrastructure to support product and company initiatives


• Develop and maintain tooling to automate, facilitate, and monitor operational tasks


• Monitor system health and performance, troubleshoot issues, and implement proactive solutions


• Collaborate with software engineers to improve service scalability, availability, and security


• Lead incident response and post-mortem analysis to ensure service reliability


• Develop and manage CI/CD pipelines to enable rapid and reliable deployments


• Drive CloudOps best practices and continuous improvement initiatives across teams

Job Requirements

• 5+ years of experience in CloudOps, DevOps, Site Reliability Engineering, or infrastructure engineering roles


• 3+ years working in a SaaS environment


• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field


• Expertise in cloud platforms such as AWS, GCP, or Azure. Certifications preferred


• Strong experience with infrastructure as code (Terraform, CloudFormation, etc.)


• Proficiency in automation and configuration management tools such as Ansible and SaltStack


• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)


• Experience with modern AI tools including MCP management


• Solid understanding of CI/CD tools (Jenkins, GitHub Actions, etc.) and processes


• Strong scripting skills in Python, Bash, or similar languages


• Proficiency with Linux system administration and troubleshooting


• Experience with version control systems, particularly Git


• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack, Datadog)


• Knowledge of networking, security best practices, and cost optimization on cloud platforms


• Excellent communication and collaboration skills

View Our Benefits

Domo is an equal opportunity employer