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For Companies At a Glance
- Tasks: Design and manage observability platforms, automate workflows, and deliver real-time insights.
- Company: Join UST, a leader in IT services and consulting, shaping the future of technology.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, working with cutting-edge tools and making a real impact.
- Qualifications: Hands-on experience with LogicMonitor, Azure Log Analytics, Grafana, and automation tools required.
- Other info: This is a full-time role based in London, ideal for tech enthusiasts ready to innovate.
The predicted salary is between 32000 - 46000 £ per year.
Join to apply for the Automation & Observability Engineer (Specialist II – Cloud Infrastructure Services) role at UST
Join to apply for the Automation & Observability Engineer (Specialist II – Cloud Infrastructure Services) role at UST
London – Hybrid/on-site depending on business needs
We\’re hiring an Automation & Observability Engineer to help shape the future of how we see, understand, and respond to our technology landscape. Based in London, this role is your opportunity to take ownership of enterprise-grade monitoring and visibility tools that power performance, reliability, and security across the organization.
Role Description
Automation & Observability Engineer
London – Hybrid/on-site depending on business needs
We\’re hiring an Automation & Observability Engineer to help shape the future of how we see, understand, and respond to our technology landscape. Based in London, this role is your opportunity to take ownership of enterprise-grade monitoring and visibility tools that power performance, reliability, and security across the organization.
If you’re passionate about building smart observability systems, automating workflows, and delivering real-time insight, we want to hear from you.
The Role
- Architect & Manage Observability Platforms
- Design and maintain robust frameworks using LogicMonitor, BigPanda, ServiceNow, and NiFi
- Drive log analytics and security monitoring with Azure Log Analytics and Azure Sentinel
- Build stunning dashboards with Grafana, Splunk, KQL, and tools like Loki, Alloy, and Thanos
- Enable full-stack observability for AKS and complex infrastructure deployments
- Streamline monitoring workflows via GitHub Actions, PowerShell, and API Management
- Partner with DevOps and platform teams to close the gap between data and action
What You Bring
- Hands-on expertise in:
- LogicMonitor, BigPanda, NiFi, ServiceNow
- Azure Log Analytics, Azure Sentinel, KQL, Grafana Suite (Beyla, Alloy, Loki, etc.), Splunk, AKS, GitHub, PowerShell, API Management
Nice To Have Skills
- Familiarity with Cribl and distributed tracing
- Knowledge of data pipelines and advanced telemetry
Apply now for a more detailed conversation!
#UST
Skills
big panda,Azure Automation,Azure
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
IT Services and IT Consulting
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Automation & Observability Engineer (Specialist II - Cloud Infrastructure Services) employer: UST
Contact Detail:
UST Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automation & Observability Engineer (Specialist II - Cloud Infrastructure Services)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as LogicMonitor, BigPanda, and Azure Log Analytics. Having hands-on experience or even personal projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the field of automation and observability. Attend relevant meetups or webinars to connect with others who work at UST or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've implemented monitoring solutions or automated workflows. Be ready to explain your thought process and the impact of your work on performance and reliability.
✨Tip Number 4
Stay updated on the latest trends in cloud infrastructure and observability. Follow industry blogs, podcasts, or forums to gather knowledge that you can bring up during interviews, demonstrating your passion and commitment to the field.
We think you need these skills to ace Automation & Observability Engineer (Specialist II - Cloud Infrastructure Services)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Automation & Observability Engineer position. Tailor your application to highlight your relevant experience in monitoring tools and automation.
Highlight Relevant Skills: Make sure to emphasise your hands-on expertise with tools mentioned in the job description, such as LogicMonitor, Azure Log Analytics, and Grafana. Use specific examples from your past work to demonstrate your proficiency.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for building observability systems and automating workflows. Show how your goals align with the company's mission and values.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at UST
✨Know Your Tools Inside Out
Make sure you have a solid understanding of the tools mentioned in the job description, such as LogicMonitor, BigPanda, and Azure Log Analytics. Be prepared to discuss your hands-on experience with these platforms and how you've used them to solve real-world problems.
✨Showcase Your Automation Skills
Since the role focuses on automating workflows, be ready to share specific examples of how you've streamlined processes using GitHub Actions or PowerShell. Highlight any projects where your automation efforts led to significant improvements in efficiency.
✨Demonstrate Full-Stack Observability Knowledge
Familiarise yourself with full-stack observability concepts and be prepared to explain how you would implement them in a complex infrastructure. Discuss your experience with building dashboards using Grafana or Splunk, and how they contributed to better monitoring and visibility.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time situations. Think about challenges you've faced in previous roles related to observability and automation, and how you approached those challenges to deliver effective solutions.
