Associate Site Reliability Engineer/Site Reliability Engineer

C3 AI

Redwood City, CA

Who this role is best for

Best suited to candidates with cloud infrastructure and automation experience working in enterprise AI environments.

Best fit for

Individuals with a background in deploying and managing fault-tolerant systems in public cloud environments.
— “deploying, managing, and operating scalable and fault-tolerant Linux/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds.”
Candidates who can influence system design and build automation frameworks to reduce recurring issues.
— “Solve complex problems for critical services and build automation to prevent problem recurrence.”

Things to consider

Candidates must be prepared to work closely with engineering and services teams.
— “Work cross-functionally with Services and Engineering teams.”

How to stand out

Highlight experience with Kubernetes, NoSQL databases, and cloud automation in your resume.
— “Experience deploying, upgrading, and troubleshooting Kubernetes clusters and workloads.”
Emphasize your background in SaaS infrastructure and DevOps practices.
— “Experience supporting as a DevOps or sys admin for commercial SaaS solutions.”
Demonstrate familiarity with IaC tools like Ansible or Terraform in your application materials.
— “Experience with IaC tools like Ansible or Terraform.”
Include specific examples of end-to-end monitoring and alerting systems you've implemented.
— “Establish end-to-end monitoring and alerting on all critical aspects.”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

maximizing system uptime
establishing monitoring and alerting
solving complex problems
building automation
setting up critical infrastructure

Typical background

DevOpssys admincloud infrastructure

Skills & requirements

Required

LinuxKubernetesJVMAWSGCPCassandraCloud ProvidersConfiguration ManagementScriptingAutomationIac ToolsProblem-solvingCommunication

Preferred

Commercial Saas SupportEarly-stage Company Experience

Stack & domain

LinuxKubernetesJVMAWSGCPPuppetBashPythonAnsibleTerraformProblem-solvingCritical ThinkingCommunicationCloudInfrastructureDevOpsAutomation

About the role

Original posting from C3 AI

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
We are looking for Associate Site Reliability Engineer/Site Reliability Engineer to join our team at our HQ in Redwood City, CA.
Responsibilities:
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.
Influence and create new designs, architectures, standards, and methods for supporting the platform.
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:
BS or MS in Computer Science, related field, or equivalent professional experience.
Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Linux/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds.
Expertise in Linux Operating Systems, Networking, and Database concepts.
Experience deploying, upgrading, and troubleshooting Kubernetes clusters and workloads.
Experience with Cassandra (or another NoSQL alternative).
Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP.
Experience with configuration management systems such as Puppet.
Experience in Bash or Python; to automate and monitor systems.
Experience with IaC tools like Ansible or Terraform.
Excellent problem-solving, critical thinking, and communication skills.
Experience supporting as a DevOps or sys admin for commercial SaaS solutions.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range$90,000—$160,000 USDC3 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.

Source: C3 AI careers