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- Tasks: Design and build a cutting-edge cloud platform for behavioural AI solutions.
- Company: VC-backed stealth-mode company revolutionising retail with AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Join a greenfield project and make a real impact in the retail industry.
- Qualifications: Strong cloud infrastructure experience and excellent collaboration skills.
- Other info: Dynamic team with a focus on innovation and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.
Role:
We’re looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions.
Essential Qualifications:
- Strong experience designing, building, and supporting infrastructure in cloud environments.
- Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices.
- Solid experience with container orchestration systems and how to manage workloads at scale.
- Proficient with Infrastructure as Code tools and practices.
- Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort.
- Knowledgeable about observability tools & best practices.
- Ability to collaborate across teams with excellent written and verbal communication skills.
Nice to Have:
- Experience with multi-cloud and/or hybrid deployments.
- Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar).
- Experience optimizing cloud costs/spend.
- Experience setting up SRE, self-service, and incident-management processes.
Lead Cloud Engineer employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your cloud projects and automation scripts. This gives us a tangible way to see what you can do, and it sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common cloud engineering questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Lead Cloud Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our Lead Cloud Engineer role. Highlight your cloud infrastructure experience and any relevant projects you've worked on, especially those involving modern machine learning or container orchestration.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this greenfield opportunity. Share your passion for building from scratch and how your background aligns with our mission of enhancing the in-store shopping experience through AI.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention specific tools and practices you’ve used, like Infrastructure as Code or observability tools, to give us a clear picture of your capabilities.
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 this exciting opportunity to join our engineering team!
How to prepare for a job interview at algo1
✨Know Your Cloud Stuff
Make sure you brush up on your cloud infrastructure knowledge. Be ready to discuss your experience with cloud networking concepts, container orchestration, and Infrastructure as Code tools. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to building and supporting cloud environments.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Whether it's optimising cloud costs or managing workloads at scale, having concrete stories will demonstrate your ability to think critically and solve problems effectively.
✨Collaboration is Key
Since this role involves working across teams, be ready to highlight your communication skills. Think of instances where you’ve successfully collaborated with others, whether it’s through written documentation or verbal discussions. This will show that you can work well in a team-oriented environment.
✨Get Familiar with Their Mission
Take some time to understand the company’s mission and the behavioural AI solutions they’re developing. Being able to articulate how your skills align with their vision will not only impress them but also show your genuine interest in the role and the company.
