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- Tasks: Maximize system uptime, solve complex problems, and automate processes.
- Company: C3.ai is a leading AI software provider transforming industries with innovative solutions.
- Benefits: Enjoy competitive pay, excellent benefits, and a supportive work environment.
- Why this job: Join a dynamic team to influence cutting-edge technology and drive impactful change.
- Qualifications: Experience with Linux, Kubernetes, AWS, and programming in Ruby or Python required.
- Other info: C3 AI values diversity and is an Equal Opportunity Employer.
The predicted salary is between 48000 - 72000 £ per year.
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. 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.
C3 AI provides excellent benefits and a competitive compensation package.
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.
Apply for this job
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Site Reliability Engineer employer: C3 AI
Contact Detail:
C3 AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer
✨Tip Number 1
Familiarize yourself with the C3 AI Platform and its applications. Understanding how their platform accelerates digital transformation will help you speak confidently about how your skills can contribute to their mission.
✨Tip Number 2
Highlight your experience with cloud providers like AWS, GCP, and Azure during your conversations. Be ready to discuss specific projects where you've deployed scalable and fault-tolerant infrastructure.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through real-world examples. Think of complex issues you've resolved in previous roles, especially those related to system uptime and automation.
✨Tip Number 4
Show your enthusiasm for collaboration by discussing experiences where you've worked cross-functionally with engineering or services teams. This will illustrate your ability to thrive in a team-oriented environment.
We think you need these skills to ace Site Reliability Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Site Reliability Engineer position at C3.ai. Understand the responsibilities and qualifications required, and think about how your experience aligns with them.
Tailor Your Resume: Customize your resume to highlight relevant experience in deploying and managing scalable infrastructure, particularly with Linux, Kubernetes, and cloud services like AWS or GCP. Use specific examples that demonstrate your problem-solving skills and automation experience.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention specific projects or experiences that relate to the responsibilities listed in the job description.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Site Reliability Engineer.
How to prepare for a job interview at C3 AI
✨Understand the C3 AI Platform
Familiarize yourself with the C3 AI Platform and its applications. Be prepared to discuss how your experience aligns with their focus on reliability, fraud detection, and other key areas.
✨Showcase Your Technical Skills
Highlight your expertise in Linux, Kubernetes, and cloud providers like AWS and GCP. Be ready to provide examples of how you've managed scalable infrastructure and solved complex problems in previous roles.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in system reliability and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Effectively
Since the role involves cross-functional collaboration, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical team members can understand.
