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- Tasks: Design and build cloud-native infrastructure for advanced AI systems.
- Company: Fast-growing AI startup with innovative projects and top-tier investors.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Experience in cloud infrastructure and platform engineering is essential.
- Other info: Dynamic startup culture with a focus on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
I'm partnered with a fast-growing AI research and engineering startup building advanced agentic AI systems that automate and accelerate complex software engineering workflows. The platform sits at the intersection of AI research and real-world production systems.
They have secured 5M in seed funding from top-tier investors and are expanding their core engineering team. They are looking for a Platform Engineer to help design, build, and operate the systems that power their products at scale.
- Designing and building cloud-native infrastructure to support highly reliable, secure, and scalable AI systems
- Operating and improving Kubernetes-based platforms, deployment pipelines, and internal tooling
- Building abstractions and automation to support rapid experimentation and production deployments
- Owning reliability, observability, security, and performance across our infrastructure stack
Strong experience in cloud infrastructure, platform engineering, or DevOps roles is required. A solid understanding of cloud providers (AWS/GCP/Azure) and infrastructure best practices is essential. Experience building or operating production-grade systems with high reliability requirements is also necessary.
Senior Engineer (Platform Engineering) in City of London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer (Platform Engineering) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud infrastructure and Kubernetes. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of cloud providers and infrastructure best practices. Practice coding challenges and system design questions to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Engineer (Platform Engineering) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud infrastructure and platform engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share your passion for AI and how your background in DevOps can contribute to our mission. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for strong experience in cloud providers like AWS, GCP, or Azure. Make sure to mention any specific tools or technologies you’ve worked with that relate to Kubernetes or production-grade systems.
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’s super easy!
How to prepare for a job interview at Few&Far
✨Know Your Cloud Inside Out
Make sure you brush up on your knowledge of cloud providers like AWS, GCP, and Azure. Be ready to discuss specific projects where you've designed or operated cloud infrastructure, as this will show your hands-on experience and understanding of best practices.
✨Showcase Your Kubernetes Skills
Since the role involves operating Kubernetes-based platforms, be prepared to talk about your experience with Kubernetes. Share examples of how you've improved deployment pipelines or internal tooling, and highlight any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
This startup is looking for someone who can own reliability, observability, security, and performance. Think of scenarios where you've had to troubleshoot issues in production systems and be ready to explain your thought process and the solutions you implemented.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about their AI systems and engineering practices. This not only shows your interest but also helps you gauge if the company aligns with your career goals and values.
