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- Tasks: Develop and maintain backend systems using Ruby on Rails in a cloud-native environment.
- Company: Join a cutting-edge AI Cyber Security firm focused on innovative solutions.
- Benefits: Enjoy remote work flexibility and access to modern tech tools.
- Why this job: Be part of a dynamic team tackling real-world security challenges with machine learning.
- Qualifications: Deep experience in Ruby on Rails and familiarity with cloud platforms required.
- Other info: Ideal for those passionate about software engineering and cybersecurity.
The predicted salary is between 43200 - 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. You 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 interested in machine learning concepts. This is a remote role.
Senior Ruby Engineer – AI Cyber Security employer: Propel London
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ruby Engineer – AI Cyber Security
✨Tip Number 1
Familiarise yourself with the latest trends in Ruby on Rails and cloud technologies. Being able to discuss recent updates or features during an interview can show your passion and commitment to the field.
✨Tip Number 2
Brush up on your knowledge of machine learning concepts. Even if you’re not a data scientist, understanding how these concepts apply to cyber security can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and cyber security fields. Engaging with communities on platforms like LinkedIn or GitHub can provide insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with Linux server environments and any Big Data tools you've worked with. Be ready to explain how these experiences have shaped your approach to backend engineering.
We think you need these skills to ace Senior Ruby Engineer – AI Cyber Security
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.
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.
Highlight Soft Skills: Since this is a remote role, emphasise your ability to work independently and communicate effectively with team members. Mention any experience you have with remote collaboration tools or methodologies.
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 you've worked on, the challenges you faced, and how you overcame them using Ruby.
✨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 explain how you've implemented cloud practices in previous roles and how they can benefit the company.
✨Familiarity with Front-End Frameworks
While the focus is on backend development, having some experience with front-end JavaScript frameworks can set you apart. Mention any relevant projects where you collaborated with front-end teams or used these frameworks.
✨Discuss Big Data and Machine Learning
If you have experience with Big Data tools like Hadoop or Spark, be sure to mention it. Even if you're not an expert, showing an understanding of how these tools interact with backend systems and expressing your interest in machine learning concepts can impress the interviewers.
