SRE: Scalable Cloud Reliability, Observability & Terraform

SRE: Scalable Cloud Reliability, Observability & Terraform

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Artificial Labs

At a Glance

  • Tasks: Ensure system reliability and develop Infrastructure-as-Code with cutting-edge tech.
  • Company: Join Artificial Labs, a leader in specialty insurance technology.
  • Benefits: Private medical insurance, generous leave, and professional growth opportunities.
  • Other info: Fast-paced environment with excellent career advancement potential.
  • Why this job: Be part of the next generation of technology and make a real impact.
  • Qualifications: Proactive, curious, and accountable individuals with a passion for tech.

The predicted salary is between 50000 - 70000 £ per year.

Join Artificial Labs in Greater London as an engineer to support the next generation of technology for specialty insurance. Your role includes ensuring system reliability, developing Infrastructure-as-Code, and working with cutting-edge technologies like Haskell and AWS.

The ideal candidate thrives in a proactive, curious, and accountable manner while working autonomously in a fast-paced environment.

In return, we offer extensive benefits including private medical insurance, generous leave, and opportunities for professional growth.

SRE: Scalable Cloud Reliability, Observability & Terraform employer: Artificial Labs

Artificial Labs is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive perks such as private medical insurance and generous leave, alongside ample opportunities for professional development in a fast-paced environment. Join us to be part of a forward-thinking team that values curiosity and accountability while working with cutting-edge technologies.

Artificial Labs

Contact Details:

Artificial Labs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land SRE: Scalable Cloud Reliability, Observability & Terraform

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Artificial Labs or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Artificial Labs.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Artificial Labs.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Artificial Labs that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace SRE: Scalable Cloud Reliability, Observability & Terraform

System Reliability
Infrastructure-as-Code
Haskell
AWS
Proactive Approach
Curiosity
Accountability

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Artificial Labs.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Artificial Labs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Artificial Labs

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Artificial Labs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.