Senior DevOps Engineer

Redwood City, CA

Full Time Senior-level / Expert
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C3.ai
C3 AI is a leading enterprise AI software provider for building enterprise-scale AI applications and accelerating digital transformation.
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C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. C3 AI delivers a family of fully integrated products: C3 AI® Suite, an end-to-end platform for developing, deploying, and operating large-scale AI applications; C3 AI Applications, a portfolio of industry-specific SaaS AI applications; C3 AI CRM, a suite of industry-specific CRM applications designed for AI and machine learning; and C3 AI Ex Machina, a no-code AI solution to apply data science to everyday business problems. The core of the C3 AI offering is an open, model-driven AI architecture that dramatically simplifies data science and application development. Learn more at: www.c3.ai

C3 AI is hiring Cloud Computing DevOps Engineers at our beautiful campus in Redwood City, California. In this role, you will work alongside a tight-knit and talented engineering team to build and deploy AI applications for our customers. You will use your expertise to solve complex challenges and support the core of the C3 AI Platform. 

Meaningful work. Top technology. An award-winning culture and talented team. Join us at C3 AI! 

Your Responsibilities: 

  • Develop and test the cloud infrastructure to scale a rapidly growing C3 AI ecosystem
  • Design, deploy, and manage a massive scale, highly available, fault tolerant, multi-tenant SAAS product 
  • Develop and maintain Continuous Integration (CI)/Continuous Delivery (CD) pipelines on kubernetes 
  • Tier 1 point of escalation from Support for any service availability challenges reported by multitenant customers 
  • Improve automated cloud configuration, deployments, monitoring, management and incident response to support enterprise grade multi-tenant systems
  • Work cross-functionally with various teams to improve C3 AI infrastructure through automation
  • Build internal tools to demonstrate performance and operational efficiency
  • Work with other teams to resolve issues related to application configuration, deployment, or debugging
  • Provide documentation and training of duties to Operations, new staff and related groups
  • Provide system administration, configuration, and troubleshooting of the Linux environment

 Requirements: 

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field
  •  5+ years' experience in high-availability large-scale Kubernetes cluster deployments, operation, monitoring and maintenance  
  • Strong experience with log monitoring and management with tools including but not limited to, Splunk or Elastic 
  • Strong experience in automating Continuous Integration (CI) and Continuous Deployment (CD) and release management using tools such a Jenkins and Docker Registry 
  • Strong experience with metric monitoring and alerting tools such as Prometheus and Grafana 
  • Strong experience with Python, Bash, Jscript and automation tools (Chef, Puppet, Ansible,  etc.) 
  • 3+ years of experience with using and developing technologies like Cassandra, Spark, Relational Databases, Postgres, RedShift and Docker 
  • Experience with incident response automation tools such as PagerDuty 
  • Experience with Application Performance Monitoring principles and related tools such as NewRelic, Dynatrace, or AppDynamics 
  • Experience with Amazon EKS/Azure AKS or Openshift/Rancher is a plus 
  • Experience with securing cloud environments and monitoring for security breaches 
  • Experience with monitoring and reporting on cloud spend 
  • Experience reporting on Service Level Agreement (SLA) performance metrics such as service up time 
  • Proficiency in Linux administration, configuration, and automation tools
  • Working knowledge of Cloud platforms (AWS, Azure, Google and Cloud Platform)
  • Knowledge of performance benchmarking and diagnostic tools
  • Rigor in high code quality, automated testing, and other engineering best practices

Preferred 

  • Master’s degree in Computer Science, Electrical Engineering, or related field
  • Experience with Scala and Spark 
  • Working experience in deploying Spark on Kubernetes  

C3 AI provides a competitive compensation package and excellent benefits including:

  • Competitive salary, generous stock options, 401K, medical, dental, and vision benefits. At the office, we offer a fully stocked kitchen with catered breakfast and lunch, table tennis and pool table, free membership at our on-site gym, Friday evening social hours with food, drink and music and a fun team of great people.

 

 

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

Job region(s): North America
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