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
Skills Required
- 5+ years in CloudOps, DevOps, Site Reliability, or infrastructure engineering
- 3+ years working in a SaaS environment
- Bachelor's degree in Computer Science, Software Engineering, IT, or related field
- Expertise with cloud platforms (AWS, GCP, or Azure)
- Cloud platform certifications
- Experience with Infrastructure as Code (Terraform, CloudFormation)
- Proficiency with automation/configuration management tools (Ansible, SaltStack)
- Hands-on experience with containerization and orchestration (Docker, Kubernetes)
- Solid understanding of CI/CD tools and processes (Jenkins, GitHub Actions)
- Strong scripting skills in Python, Bash, or similar languages
- Experience developing applications or tools using Java, Python, or similar
- Familiarity with Linux system administration and troubleshooting
- Experience with version control systems, particularly GitHub
- Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog)
- Knowledge of networking, security best practices, and cloud cost optimization
- Excellent communication and collaboration skills
What We Do
Domo is the Business Cloud®, empowering organizations of all sizes with BI leverage at cloud scale in record time. With Domo, BI-critical processes that took weeks, months or more can now be done on the fly, in minutes or seconds, at unbelievable scale, helping teams and organizations go big, go fast and go bold®.
