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- Tasks: Join us as a Senior Ruby Engineer, focusing on backend development and cloud solutions.
- Company: Be part of an innovative AI Cyber Security firm based in London.
- Benefits: Enjoy remote work flexibility and a dynamic work environment.
- Why this job: Work with cutting-edge technology and contribute to impactful machine learning projects.
- Qualifications: Deep experience in Ruby on Rails and familiarity with cloud platforms required.
- Other info: Ideal for tech enthusiasts eager to explore AI and Big Data.
The predicted salary is between 48000 - 72000 £ per year.
As a senior Ruby backend engineer, you will have deep experience in Ruby on Rails and want to work in it going forward. You are cloud native and have expertise in modern cloud practices across major public cloud providers (GCP, Azure, AWS). Some experience with front-end JavaScript frameworks would be beneficial.
You have experience working in a Linux server environment and might have knowledge of Big Data tools such as Hadoop, Spark, or Presto, or at least understand how they interact with backend systems. You are also interested in machine learning concepts.
This is a remote role.
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ruby Engineer – AI Cyber Security (London)
✨Tip Number 1
Make sure to showcase your experience with Ruby on Rails in any conversations you have. Highlight specific projects where you've used it extensively, as this will demonstrate your deep understanding and passion for the technology.
✨Tip Number 2
Familiarise yourself with cloud platforms like GCP, Azure, and AWS. Be prepared to discuss how you've implemented cloud-native solutions in past roles, as this is a key requirement for the position.
✨Tip Number 3
If you have experience with front-end JavaScript frameworks, be ready to talk about how you've integrated them with backend systems. Even if it's not a primary focus, showing your versatility can set you apart.
✨Tip Number 4
Brush up on your knowledge of Big Data tools like Hadoop and Spark. Understanding how these tools interact with backend systems can give you an edge, especially if you can relate it to your previous work.
We think you need these skills to ace Senior Ruby Engineer – AI Cyber Security (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Ruby on Rails and any relevant cloud technologies. Emphasise your familiarity with Linux environments and any exposure to Big Data tools, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for software engineering and your interest in AI and cyber security. Mention specific projects or experiences that demonstrate your skills in Ruby and cloud practices, and how they relate to the job.
Showcase Relevant Projects: If you have worked on projects involving machine learning or cloud-native applications, be sure to include these in your application. Provide links to your GitHub or portfolio to showcase your work and contributions.
Highlight Soft Skills: Don’t forget to mention soft skills that are important for a senior role, such as teamwork, communication, and problem-solving abilities. These can set you apart from other candidates and show that you’re a good fit for the company culture.
How to prepare for a job interview at Propel London
✨Showcase Your Ruby Expertise
Make sure to highlight your deep experience with Ruby on Rails during the interview. Be prepared to discuss specific projects where you've used Ruby, and how you tackled challenges in those projects.
✨Demonstrate Cloud Knowledge
Since the role requires cloud-native expertise, brush up on your knowledge of major public cloud providers like GCP, Azure, and AWS. Be ready to discuss how you've implemented cloud practices in previous roles.
✨Familiarity with Front-End Frameworks
While the focus is on backend engineering, having some experience with front-end JavaScript frameworks can set you apart. Mention any relevant projects or technologies you've worked with, even if they were minor.
✨Discuss Big Data and Machine Learning
If you have experience with Big Data tools like Hadoop or Spark, be sure to mention it. Additionally, express your interest in machine learning concepts, as this aligns with the company's focus on AI in cyber security.
