Site Reliability Engineer – Field Operations

1 Hour ago • All levels • Devops

Job Summary

Job Description

C3 AI is seeking a Site Reliability Engineer for their team in London, England. Responsibilities include collaborating with customers to implement customized C3 AI Platform installations, maximizing system uptime and availability to meet SLAs, establishing comprehensive monitoring and alerting, resolving complex service issues, and automating to prevent recurrence. The role also involves initiating and leading scripting and automation for system updates, setting up critical infrastructure, tools, and frameworks to streamline deployments, and working collaboratively with Services and Engineering teams. Experience supporting commercial SaaS solutions as a DevOps or sys admin is a plus.
Must have:
  • Deploying, managing, and operating scalable Kubernetes infrastructure in AWS, GCP.
  • Expertise in Linux Operating Systems, Networking, and Database concepts.
  • Expertise in cloud providers (AWS, Azure, GCP).
  • Experience with Infrastructure-as-Code (Terraform, Ansible, Puppet).
  • Experience in Ruby, Bash, or Python for automation and monitoring.
  • Excellent problem-solving, critical thinking, and communication skills.
Good to have:
  • Customer facing experience.
  • Experience supporting commercial SaaS solutions as DevOps/sys admin.
Perks:
  • Competitive compensation package
  • Excellent benefits

Job Details

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

C3 AI is seeking a Site Reliability Engineer to join our team in London, England. 

Responsibilities

  • Work with customers to design and implement customized installations of the C3 AI Platform that meet unique access and security requirements
  • Maximize system uptime and availability, ensuring functional and performance SLAs
  • Establish end-to-end monitoring and alerting on all critical aspects
  • Solve complex problems for critical services and build automation to prevent problem recurrence
  • Initiate and lead scripting and automation to streamline system updates and upgrades
  • Set up critical infrastructure, tools, and framework to streamline the deployment cycle
  • Work cross-functionally with Services and Engineering teams

Qualifications: 

  • Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study
  • Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Kubernetes-based infrastructure in AWS, GCP, and other public clouds
  • Expertise in Linux Operating Systems, Networking, and Database concepts
  • Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP
  • Experience with Infrastructure-as-Code configurations such as Terraform, Ansible, or Puppet
  • Experience in Ruby, Bash, or Python; to automate and monitor systems
  • Excellent problem-solving, critical thinking, and communication skills
  • Experience supporting as a DevOps or sys admin for commercial SaaS solutions. Customer facing experience is a plus.

C3 AI provides a competitive compensation package and excellent benefits.

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. 

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About The Company

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