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- Tasks: Design and develop backend infrastructure for Machine Learning workloads.
- Company: Join a stealth-mode AI lab with a team of top-tier engineers from prestigious backgrounds.
- Benefits: Enjoy a competitive salary, equity, 28 days holiday, and professional growth opportunities.
- Why this job: Be part of cutting-edge AI research while working in a collaborative and innovative environment.
- Qualifications: 2-3 years of backend engineering experience with cloud computing and distributed systems.
- Other info: Work with AWS, Terraform, and C# in a dynamic, supportive team.
The predicted salary is between 56000 - 84000 £ per year.
Employment Type: Full-time and Permanent (On-site): £70–90k Base Salary + Discretionary Bonus + Equity
We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.
The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have a background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems.
We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. We have good end-to-end test coverage and are confident in our deployments.
Requirements:
- At least 2-3 years of industry experience in back-end engineering developing reliable and scalable systems with an object-oriented programming language.
- Experience with AWS, GCP or Azure.
- An understanding of containerisation (e.g., Docker).
- Experience with infrastructure-as-code software.
- Contributions to and experience in open-source projects.
Work in an environment conducting cutting-edge research in AI.
Benefits:
- Competitive salary, equity and benefits package.
- 28 days + public holidays allowance.
- Opportunities for professional growth and progression with your career.
Graduate Software Backend Engineer employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Software Backend Engineer
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, especially AWS and Terraform. Consider building a small project that utilises these tools to demonstrate your hands-on experience during interviews.
✨Tip Number 2
Engage with the community around C# and cloud computing. Join forums or attend meetups where you can network with professionals in the field. This could lead to valuable connections and insights about the company culture.
✨Tip Number 3
Showcase any relevant open-source contributions on your GitHub profile. Highlighting your involvement in projects related to backend engineering or cloud services can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on object-oriented programming and system design. Websites like LeetCode or HackerRank can be great resources to sharpen your skills.
We think you need these skills to ace Graduate Software Backend Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend engineering, cloud computing, and distributed systems. Emphasise any projects where you've used C# (.NET) and AWS, as these are key requirements for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for working in a cutting-edge AI environment. Mention your relevant experience and how it aligns with the company's focus on machine learning and backend infrastructure.
Showcase Relevant Projects: If you have contributions to open-source projects or personal projects that demonstrate your skills in backend development, be sure to include them. This can set you apart from other candidates.
Highlight Soft Skills: While technical skills are crucial, don't forget to mention soft skills such as teamwork and communication. Since you'll be working closely with the Machine Learning team, showing that you can collaborate effectively is important.
How to prepare for a job interview at Zettafleet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend engineering, particularly in cloud computing and distributed systems. Highlight specific projects where you've used C# (.NET 9) and any relevant tools like AWS or Terraform.
✨Understand the Company’s Focus
Research the company’s work in AI and Machine Learning. Even if you don't have a background in these areas, showing an understanding of their significance and how your role contributes can impress the interviewers.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Be ready to walk through your thought process on how you would design scalable systems or troubleshoot issues in a cloud environment.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, the technologies they use, and opportunities for professional growth. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
