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- Tasks: Support and enhance infrastructure for Curve's innovative financial platform.
- Company: Join Curve, a rebellious tech company simplifying finances for everyone.
- Benefits: Enjoy 25 days holiday, competitive salary, and opportunities for growth.
- Why this job: Be part of a fast-paced team making a real impact on millions of users.
- Qualifications: Experience with Kubernetes, cloud providers, and modern programming languages required.
- Other info: Dynamic startup environment with a focus on learning and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Curve was founded with a rebellious spirit and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life. That’s why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live.
With Curve you can spend from all your accounts, track spend behaviour and provide insights, and security to protect you from fraud. For the first time giving you bright insights and control of all your money in one beautiful place. We’re developing a ground-breaking product with our customers at the core. Our user base is growing rapidly and we have exceptional metrics. We have funding from the leading names in tech investment, and a visionary leadership team who wants everyone who joins this remarkable adventure to have the autonomy to masterfully develop their expertise.
We are searching for a certain kind of person who is excited by the idea of owning the products they build, as well as people who like to build best‑in‑class features and services. This position requires collaboration with engineers, product managers and other teams and stakeholders within the business. If you’re thrilled by the idea of ownership, passionate about building features and services, and think you can manage the fast pace with a fail‑fast, learn‑fast attitude, we would love to hear from you.
Key Accountabilities- Working with Curve’s engineering teams to support the infrastructure they need and the platforms on which their services run.
- Observing our platforms and services to measure reliability, find areas for improvement, and discover any risks to the stability or security of our systems.
- Maintaining new and existing infrastructure with code, by writing well‑designed Terraform modules, to make the best use of our cloud providers.
- Doing proof‑of‑concepts on new and emerging tech to see how it could fit at Curve.
- Taking part in honest and transparent blame‑free post‑mortems on incidents we have, so we can learn from them and prevent them from happening again.
- Sharing your work and talking about it within the Platform and Engineering team, to spread knowledge and be an ambassador for good site reliability practices.
- Deploying innovative new tools to help accelerate engineers and make their lives easier, giving them more time to focus on what they are building.
- Documenting and driving the adoption of engineering best practices across the wider Engineering team.
- Demonstrating ownership of all initiatives from concept to launch, and embodying unwavering commitment and reliability, with a genuine willingness to contribute and address challenges.
- Helping Curve scale to many millions of customers and expand into multiple regions.
- Architect our platforms to be secure and reliable to give our customers peace of mind.
- Automate and accelerate - reduce manual tasks and allow all of Curve’s engineers to concentrate on building exciting new features.
- Build, measure, learn - help us put together the best observability tools to continually improve Curve’s services and performance.
- Cloud providers: Amazon Web Services and Google Cloud Platform.
- Platforms: Kubernetes (EKS) with Istio service mesh.
- Observability: Prometheus, Coralogix and Grafana.
- Databases: PostgreSQL, MongoDB and Hashicorp Vault.
- Infrastructure as Code: extensive use of Terraform and Atlantis.
- CI/CD: GitLab, Flux and Helm.
- Experience deploying production ready applications to a Kubernetes cluster.
- 2+ years of experience with a cloud provider (AWS an advantage).
- Knowledge of defining infrastructure as code, ideally with Terraform.
- Experienced with a modern programming language such as Go or Python.
- Ability to diagnose problems at any level (Client, HTTP/Network, Server, Database, OS).
- Experience of agile development practices and working in sprints.
- Knowledge of designing PCI‑compliant infrastructure will be a bonus.
- Experience of working in a fast‑paced and dynamic startup environment will be an advantage.
- Ability to write clear, concise documentation.
- Keen to learn, and aware of changes in the software and cloud‑native technologies industry.
25 days plus
Site Reliability Engineer - L4 in London employer: Curve
Contact Detail:
Curve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Site Reliability Engineer - L4 in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Curve on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with Kubernetes and Terraform, make sure you can talk confidently about your experience and how you’ve used these tools in past projects.
✨Tip Number 3
Show your passion for ownership! During interviews, share examples of projects where you took the lead and how you tackled challenges. Curve loves candidates who are excited about building and owning their work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Curve adventure!
We think you need these skills to ace Site Reliability Engineer - L4 in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the opportunity to contribute to Curve and help us simplify finances for our users.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience and skills. We love seeing how your background aligns with what we’re looking for, so don’t hold back on showcasing your expertise in Kubernetes, Terraform, or any other tech that fits!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your writing is easy to read and free of jargon. This will help us understand your qualifications without getting lost in the details.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Curve
✨Know Your Tech Stack
Familiarise yourself with Curve's tech stack, especially Kubernetes, AWS, and Terraform. Be ready to discuss your experience with these technologies and how you've used them in past projects. This shows you're not just a fit for the role but also genuinely interested in what they do.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of how you've diagnosed and solved issues in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to think critically and act decisively, which is crucial for a Site Reliability Engineer.
✨Emphasise Collaboration
Since the role involves working closely with various teams, highlight your experience in collaborative environments. Talk about how you've successfully worked with engineers and product managers to achieve common goals. This will show that you can thrive in Curve's team-oriented culture.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your coding skills, particularly in Go or Python, and be prepared to solve problems on the spot. This will showcase your technical prowess and your ability to handle the fast-paced nature of the job.
