Senior CloudOps Engineer

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

• 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

Domo is an equal opportunity employer