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- Tasks: Design and implement custom installations of the C3 AI Platform for clients.
- Company: C3 AI is a leading Enterprise AI application software company transforming organisations globally.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team solving complex problems and driving innovation in AI technology.
- Qualifications: Bachelor’s degree in STEM and experience with Kubernetes, cloud providers, and automation tools required.
- Other info: Customer-facing experience is a plus; perfect for tech-savvy problem solvers!
The predicted salary is between 43200 - 72000 £ per year.
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.
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.
- Maximise 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.
Contact Detail:
C3 AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer – Field Operations
✨Tip Number 1
Familiarise yourself with the C3 AI Platform and its features. Understanding how it operates will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Kubernetes skills, especially in a cloud environment like AWS or GCP. Being able to discuss your hands-on experience with scalable infrastructure will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your problem-solving abilities. Think of specific examples where you've tackled complex issues in previous roles, particularly in a customer-facing context, as this is highly relevant for the position.
✨Tip Number 4
Network with current or former employees of C3 AI on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview.
We think you need these skills to ace Site Reliability Engineer – Field Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Site Reliability Engineering, particularly with Kubernetes, AWS, and automation tools like Terraform or Ansible. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in STEM with the responsibilities of the role. Emphasise your problem-solving abilities and any customer-facing experience you have, as this is valuable for the position.
Showcase Relevant Projects: If you've worked on projects involving cloud infrastructure or automation, include these in your application. Detail your role and the impact of your contributions to demonstrate your hands-on experience.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Site Reliability Engineer.
How to prepare for a job interview at C3 AI
✨Understand the C3 AI Platform
Familiarise yourself with the C3 AI Platform and its features. Be prepared to discuss how you would design and implement installations that meet specific customer needs, especially regarding access and security.
✨Showcase Your Technical Skills
Highlight your experience with Kubernetes, AWS, GCP, and Linux systems during the interview. 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 instances where you've tackled critical service issues. Emphasise your approach to building automation and preventing problem recurrence, as this is crucial for a Site Reliability Engineer.
✨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 stakeholders can understand, showcasing your communication skills.
