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Grafana Labs

Technical Support Engineer UK

Posted 2 Days Ago
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Remote
Hiring Remotely in United Kingdom
Mid level
Remote
Hiring Remotely in United Kingdom
Mid level
As a Technical Support Engineer, you will provide specialized support to Grafana Labs customers by debugging issues, replicating customer environments, troubleshooting connectivity, managing customer cases, and contributing to knowledge base. You'll engage with customers to ensure first-class service and gather feedback for internal teams.
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This is a remote role ONLY for candidates located in the UK.

 

Are you looking for the next step in your career? Enjoy a challenge? Love to innovate? This is an exciting opportunity to join a leading observability company in a high-growth phase. We’re looking for an experienced, versatile, and highly motivated Support Engineer to join the team.

 

As a Support Engineer, you'll be a member of the fast-growing Customer Experience team, and be responsible for providing specialized support for Grafana Labs customers.  You'll support the entire observability stack, from front-end Grafana panels to metrics, logs, and traces. In this role, you’ll also get hands-on experience with a multitude of unique open source projects providing extensive learning opportunities within our Cloud, Enterprise, and Open Source offerings.  This position will be focused on our EMEA Customer coverage.

What you'll be doing:

  • Debugging customer issues by attempting to replicate in lab environments (AWS, Azure, GCP, Kubernetes, Docker/containers, and dozens of test data sources) 
  • Utilizing SSO/SAML experience to help customers in securing their Grafana instances
  • Evaluating errors or discrepancies within customer dashboard panels and determining root cause
  • Reviewing configuration files and recommending best practices (Debug logs, JSON, YAML)
  • Troubleshooting connectivity to various data sources and plugins
  • Opening Github issues and partnering with software developers in order to solve issues, address bug fixes, or report security vulnerabilities
  • Assessing performance issues with queries, visualizations, and alerting (PromQL, LogQL)
  • Manage customer cases by providing timely and accurate information via phone, video meetings, email, ticketing, and chat
  • Contribute to internal knowledge base and share information about technical issues within your team
  • Inform customers about new features and functionality
  • Gather and share customer feedback with Product, Sales, and Customer Success teams
  • Provide training to new and existing team members and help with the onboarding process for new customers

What you'll bring to the team:

  • A background knowledge of any of the following fields is desired:Observability, cloud systems administration, containerization, devops, logs, metrics, tracing, kubernetes and general enterprise open source technology
  • A willingness to learn and aptitude to master our products and become a trusted advisor to our customers
  • You will be comfortable engaging with a range of customers from small businesses to Fortune 500 clients and you will love putting the customer first in all of your actions
  • You must be proficient in the troubleshooting process and have strong researching skills
  • You will be required to work with multiple Engineering teams but should be able to do more than just triage and escalate.
  • We’re looking for people who can go all the way to root-cause analysis as they become more familiar with the products/technologiesSolid experience with CRM software, help desk software and remote support tools
  • Experience delivering client-focussed solutions to customer needs
  • Excellent listening, problem solving and communication skills
  • You are patient, friendly and practice empathy in all of your interactions to deliver first class customer service
  • Fluency in English with any other European language (especially German) would be ideal

In the UK, the Base compensation range for this role is GBP 61,000 - GBP 73,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

 

About Grafana Labs: There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

 

Benefits: For more information about the perks and benefits of working at Grafana, please check out our careers page.

 

Equal Opportunity Employer: At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. If you're excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways.

 

We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

 

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. 

 

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