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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 and investors.
- Benefits: Enjoy a competitive salary, equity, 28 days holiday, and remote work flexibility.
- Why this job: Be part of cutting-edge AI research while growing your career in a dynamic environment.
- Qualifications: 2-3 years of back-end engineering experience with cloud computing and distributed systems.
- Other info: Work with AWS, Terraform, and contribute to open-source projects.
The predicted salary is between 42000 - 84000 £ per year.
Team: Backend
Location: Remote
Employment Type: Full-time and Permanent
Remuneration (UK – Remote): £59.5k 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.
Help co-hire your future colleagues.
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.
Back-end Software Engineer (Fully remote) employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back-end Software Engineer (Fully remote)
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, especially AWS, Terraform, and C#. Having hands-on experience or personal projects showcasing these skills can really set you apart during discussions.
✨Tip Number 2
Engage with the AI and Machine Learning community online. Follow relevant forums, attend webinars, or join groups on platforms like LinkedIn. This will not only enhance your knowledge but also help you network with potential future colleagues.
✨Tip Number 3
Prepare to discuss your previous experiences with cloud computing and distributed systems in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Show enthusiasm for the company's mission and the cutting-edge research they are conducting. Being genuinely interested in their work can make a positive impression and highlight your alignment with their goals.
We think you need these skills to ace Back-end Software Engineer (Fully remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in back-end engineering, cloud computing, and distributed systems. Emphasise any relevant projects or roles that showcase your skills in C# and AWS.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience with Terraform, GitHub Actions, and containerisation technologies like Docker.
Showcase Relevant Projects: If you have contributed to open-source projects or have personal projects that demonstrate your skills in back-end development and machine learning, include these in your application. This can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Zettafleet
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as AWS, C#, and Terraform. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to demonstrate your ability to tackle complex problems. You might be asked to solve a coding challenge or discuss how you've approached difficult engineering tasks in the past.
✨Highlight Collaboration Experience
Since you'll be working closely with the Machine Learning team, emphasise any previous experience you have collaborating with cross-functional teams. Share examples of how you communicated effectively and contributed to shared goals.
✨Prepare Questions About the Company
Research the company and its mission in AI. Prepare insightful questions that show your interest in their work and how you can contribute to their goals. This will demonstrate your enthusiasm and proactive attitude.
