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Site Reliability Engineer

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Company
C3 AI
Job location
London, UK
Job type
Full-time
Salary
Undisclosed
Posted
Hosted by
Adzuna

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 We are looking for a Site Reliability Engineer to join our team in London. 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 : • 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 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 Ansible or Puppet. • Experience in Ruby 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. • BS or MS in Computer Science, related field, or equivalent professional experience.
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