At a Glance
- Tasks: Lead large-scale automation initiatives and troubleshoot Linux systems.
- Company: Pioneering AI infrastructure startup with a remote-first culture.
- Benefits: 30 days annual leave, £400 work-from-home allowance, and private medical insurance.
- Other info: Exciting opportunity to work with cutting-edge technologies in a dynamic environment.
- Why this job: Join a rapidly scaling firm and shape the future of AI infrastructure.
- Qualifications: Experience in Linux troubleshooting and networking skills required.
The predicted salary is between 60000 - 80000 € per year.
Do you want to work for a pioneering tech company that’s redefining how AI infrastructure is built and scaled? Do you want to work in a business critical technical role, utilising all the latest technologies within DevOps, HPC and AI? My client are a rapidly scaling HPC Cloud & Compute firm who are setting new standards in AI infrastructure. They are backed by leading investors and have just received Series B funding which they will be putting towards a huge tech scale-out.
- Linux (Kernel level troubleshooting)
- Networking (TCP/IP, DNS, DHCP, VLANs)
Remote first working
- 30 days annual leave (+ public holidays)
- £400 work-from-home allowance
- Private Medical insurance
If you’re ready to lead large-scale automation initiatives and shape the future of AI infrastructure, apply today!
Remote Site Reliability Engineer(DevOps) employer: Trust In SODA
Join a pioneering tech company that is at the forefront of AI infrastructure innovation, offering a dynamic remote working environment in Gloucester. With a strong focus on employee growth, you will have access to cutting-edge technologies and generous benefits including 30 days of annual leave, a £400 work-from-home allowance, and private medical insurance. This is an exceptional opportunity to be part of a rapidly scaling firm backed by leading investors, where your contributions will directly impact the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Site Reliability Engineer(DevOps)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This is a great way for us to demonstrate our expertise in DevOps and AI infrastructure.
✨Tip Number 3
Prepare for those interviews! Research common SRE interview questions and practice your answers. We should also be ready to discuss our experience with Linux, networking, and automation initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to shape the future of AI infrastructure.
We think you need these skills to ace Remote Site Reliability Engineer(DevOps)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Linux, networking, and any relevant DevOps tools to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI infrastructure and how your background makes you a perfect fit for this role. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on any relevant projects or initiatives, don’t hesitate to mention them! We love seeing practical examples of your work, especially those involving automation and scaling.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Trust In SODA
✨Know Your Tech Inside Out
Make sure you brush up on your Linux skills, especially kernel-level troubleshooting. Familiarise yourself with networking concepts like TCP/IP, DNS, and VLANs. Being able to discuss these topics confidently will show that you're ready for the technical challenges of the role.
✨Showcase Your Automation Experience
Prepare examples of large-scale automation initiatives you've led in the past. Be ready to discuss the tools and technologies you used, as well as the impact your work had on efficiency and performance. This will demonstrate your capability to shape the future of AI infrastructure.
✨Understand the Company’s Vision
Research the company’s mission and recent developments, especially their Series B funding and plans for tech scale-out. Showing that you’re aligned with their goals and excited about their pioneering work in AI infrastructure will set you apart from other candidates.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current projects, team dynamics, or how they envision the future of AI infrastructure. This not only shows your interest but also helps you gauge if the company is the right fit for you.
