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- Tasks: Join a team of experts to consult on AI Ops and streamline cloud operations.
- Company: A rapidly growing AI Ops consultancy recently acquired by a European leader in the field.
- Benefits: Enjoy a competitive salary of £55,000 and the flexibility of remote work within the UK.
- Why this job: Dive into cutting-edge AI Ops projects and enhance your skills in a supportive environment.
- Qualifications: Ideal for those with a couple of years' experience as a System Engineer or SRE.
- Other info: Be part of a scaling team focused on modern observability solutions.
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 have 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 as well as 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. This position is hiring multiple people such as Grafana and PagerDuty specialists 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.
Grafana Consultant - UK Remote - £55,000 (Ashton-Under-Lyne) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Grafana Consultant - UK Remote - £55,000 (Ashton-Under-Lyne)
✨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
Research the company’s recent projects and successes in the AI Ops space. Being able to reference specific initiatives during your conversations will demonstrate your genuine interest and understanding of their business.
We think you need these skills to ace Grafana Consultant - UK Remote - £55,000 (Ashton-Under-Lyne)
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 from your past roles 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 are excited about working with AI Ops and how your background aligns with their needs. Be sure to include any specific projects or achievements related to Grafana or PagerDuty.
Showcase Relevant Skills: When filling out your application, emphasise your technical skills related to the job description, such as experience with Prometheus, dashboard creation, and any consulting experience. This will help you stand out as a candidate who meets their requirements.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in a consultancy role.
How to prepare for a job interview at Placed
✨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.
✨Understand AI Ops Concepts
Familiarise yourself with AI Ops principles and how they apply to observability and site reliability engineering. Being able to articulate your understanding of AI Ops will demonstrate your enthusiasm for the role and the industry.
✨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 in previous roles and how you resolved them, particularly in relation to cloud operations and system reliability.
✨Ask Insightful Questions
Prepare thoughtful questions to ask the interviewer about the company's approach to AI Ops and their expectations for the role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.
