Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team of experts to consult on AI Ops and streamline cloud operations.
- Company: Be part of a rapidly growing consultancy recently acquired by a European leader in AI Ops.
- Benefits: Enjoy a competitive salary of £55,000 and the flexibility of remote work within the UK.
- Why this job: Dive into exciting AI Ops projects and enhance your skills in a supportive environment.
- Qualifications: A couple of years' experience as a System Engineer or SRE is required.
- Other info: Opportunity to work with global clients and be part of a scaling team.
The predicted salary is between 33000 - 77000 £ per year.
Looking to make a step into SRE? Excited by the prospect of AI Ops? I’ve partnered with an exciting business who’ve recently been acquired by a European leader in the AI Ops Consultancy space. They are now adding multiple Grafana and PagerDuty consultants to advise and consult on AI Ops for large scale enterprises right through to SME size businesses.
Working with clients across the world, this role will involve scaling a team of 4 to join their expert SREs in the Observability domain. The position is hiring multiple people such as Grafana and PagerDuty consultants to take on modern state of the art AI Ops projects and streamline businesses' Cloud Operations.
If you’ve got a couple of years’ experience working as a Systems Engineer or SRE and are looking for somewhere to really get hands-on with AI Ops, then get in touch. In return, the role offers £55k and an opportunity to work remotely within the UK.
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Grafana Consultant - UK Remote - £55,000
✨Tip Number 1
Familiarise yourself with Grafana and PagerDuty by exploring their documentation and online tutorials. This will not only boost your confidence but also help you speak knowledgeably about these tools during interviews.
✨Tip Number 2
Join relevant online communities or forums focused on AI Ops and Site Reliability Engineering. Engaging with professionals in these spaces can provide insights into industry trends and may even lead to networking opportunities.
✨Tip Number 3
Consider working on personal projects that involve setting up observability dashboards using Grafana. This hands-on experience will not only enhance your skills but also give you concrete examples to discuss in interviews.
✨Tip Number 4
Prepare for potential technical interviews by brushing up on your knowledge of Prometheus and other monitoring tools. Being able to demonstrate your understanding of these technologies will set you apart from other candidates.
We think you need these skills to ace Grafana Consultant - UK Remote - £55,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI Ops, Grafana, and Site Reliability Engineering. Use specific examples of projects you've worked on that demonstrate your skills in observability and cloud operations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention why you're excited about AI Ops and how your background as a System Engineer or SRE makes you a great fit for the position.
Showcase Relevant Skills: Clearly list your technical skills related to Grafana, PagerDuty, and Prometheus. If you have experience with dashboard creation or consulting, be sure to include that as well.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and up-to-date.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Technical Skills
Make sure to highlight your experience with Grafana, PagerDuty, and Prometheus during the interview. Be prepared to discuss specific projects where you've used these tools and how they contributed to successful outcomes.
✨Demonstrate Your Understanding of AI Ops
Since the role focuses on AI Ops, it's crucial to show your knowledge in this area. Discuss any relevant experience you have and be ready to explain how AI Ops can enhance observability and streamline cloud operations.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced as a Systems Engineer or SRE and how you resolved them, particularly in relation to observability and incident management.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company's approach to AI Ops and their future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.