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For Companies At a Glance
- Tasks: Lead customer support for technical users and diagnose production issues.
- Company: Innovative technology company in the UK focused on AI solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and enhance AI observability while solving real-world problems.
- Qualifications: 4+ years in technical support with expertise in Kubernetes and Docker.
- Other info: Full-time role with a salary range of £100,000 - £130,000.
The predicted salary is between 80000 - 120000 £ per year.
A technology company in the UK seeks a Senior Technical Support Engineer to lead customer support for technical users. You will diagnose production issues and improve AI observability in collaboration with engineering teams.
The ideal candidate will have:
- Over 4 years of experience in technical support
- Expert troubleshooting skills
- Knowledge of Kubernetes and Docker
This full-time role offers a competitive salary range of £100,000 - £130,000.
Senior Technical Support Engineer — AI Platform & Debug Lead in London employer: Langchain
Contact Detail:
Langchain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Support Engineer — AI Platform & Debug Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or technical support. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your troubleshooting successes and experience with Kubernetes and Docker. This will give you an edge during interviews and show that you mean business.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on how you would handle real-world scenarios related to AI observability and customer support.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Plus, it’s super easy!
We think you need these skills to ace Senior Technical Support Engineer — AI Platform & Debug Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in technical support, especially with Kubernetes and Docker. We want to see how your skills align with the role, so don’t be shy about showcasing your troubleshooting expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Technical Support Engineer role. Share specific examples of how you've tackled production issues and improved observability in past roles.
Showcase Your Problem-Solving Skills: In your application, give us a glimpse of your problem-solving process. We love candidates who can think critically and work collaboratively with engineering teams, so share any relevant experiences that demonstrate these abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Langchain
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kubernetes and Docker. Be ready to discuss how you've used these technologies in past roles, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Troubleshooting Skills
Prepare to share specific examples of complex issues you've diagnosed and resolved. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working closely with engineering teams, be prepared to discuss your experience in cross-functional collaboration. Think of instances where your input made a difference in a project or improved customer satisfaction.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company's approach to AI observability or how they handle production issues. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
