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- Tasks: Design and develop backend infrastructure for Machine Learning workloads with high autonomy.
- Company: Join a stealth-mode AI lab backed by top investors and led by industry experts.
- Benefits: Enjoy a competitive salary, equity, 28 days holiday, and opportunities for career growth.
- Why this job: Be part of cutting-edge AI research while leading complex projects in a dynamic environment.
- Qualifications: 5+ years in back-end engineering with experience in cloud computing and distributed systems required.
- Other info: Work with modern technologies like AWS, C#, and Terraform in a collaborative team.
The predicted salary is between 90000 - 120000 £ per year.
Employment Type: Full-time and Permanent
On-site: £90–120k 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.
Responsibilities:
- Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work.
- Utilise AWS as much as possible and manage it with Terraform.
- Develop services written in C# (.NET 9) and deploy to ECS or Lambda via GitHub Actions.
- Ensure good end-to-end test coverage and confidence in deployments.
Requirements:
- 5+ 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, and an understanding of containerisation (e.g., Docker).
- A track record of leading complex projects.
- The ability to break down complex projects into actionable tasks.
- 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.
Senior Software Engineer - BackEnd Tech employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - BackEnd Tech
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Terraform, and C#. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any experience you have with cloud computing and distributed systems. Be prepared to discuss how you've successfully led complex projects in the past, as this role requires a high degree of autonomy and ownership.
✨Tip Number 3
If you have contributed to open-source projects, make sure to mention them. This demonstrates your commitment to the software engineering community and showcases your ability to work collaboratively on complex problems.
✨Tip Number 4
Research the company’s background and the founding team. Understanding their vision and the cutting-edge research they are involved in can help you tailor your conversations during interviews and show your genuine interest in the role.
We think you need these skills to ace Senior Software Engineer - BackEnd Tech
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 projects where you've led complex tasks or contributed to open-source projects.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific technologies you’ve worked with, such as AWS, C#, and Terraform, and how they relate to the job description.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to design and develop backend infrastructure. Highlight your experience with containerisation and infrastructure-as-code tools, as these are key aspects of the role.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Software Engineer.
How to prepare for a job interview at Zettafleet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud computing, distributed systems, and object-oriented programming. Highlight specific projects where you've successfully implemented these technologies, especially using AWS and Terraform.
✨Demonstrate Project Leadership
Since the role involves leading projects from inception to launch, be ready to share examples of complex projects you've led. Discuss how you broke down tasks and managed team dynamics to achieve successful outcomes.
✨Understand the Company’s Focus
Research the company’s work in AI and Machine Learning. Even if you don’t have a background in ML, showing an understanding of their goals and how your skills can contribute will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios relevant to backend infrastructure, as this will demonstrate your analytical thinking and technical prowess.
