Staff Data Platform Engineer — Scalable AI Storage in London
Staff Data Platform Engineer — Scalable AI Storage

Staff Data Platform Engineer — Scalable AI Storage in London

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
PhysicsX Ltd

At a Glance

  • Tasks: Architect scalable systems for complex simulation data and mentor fellow engineers.
  • Company: Deep-tech company focused on innovative AI storage solutions.
  • Benefits: Equity options, flexible working arrangements, and hybrid work setup.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: Expertise in Golang, Rust, or Python and experience with big data platforms.
  • Other info: Exciting opportunity for career growth in a dynamic environment.

The predicted salary is between 48000 - 72000 £ per year.

A deep-tech company is seeking a Staff Software Engineer to architect scalable distributed systems for complex simulation data. The ideal candidate will have expertise in Golang, Rust, or Python and experience with big data platforms.

Responsibilities include:

  • Mentoring engineers
  • Developing systems architecture
  • Maintaining reliable user-centric applications

This role offers equity options, flexible working arrangements, and a hybrid work setup based in London.

Staff Data Platform Engineer — Scalable AI Storage in London employer: PhysicsX Ltd

Join a pioneering deep-tech company in London that values innovation and collaboration, offering a vibrant work culture where your expertise in scalable distributed systems will thrive. With flexible working arrangements, equity options, and opportunities for mentorship and professional growth, this role is perfect for those looking to make a meaningful impact in the field of AI storage.
PhysicsX Ltd

Contact Detail:

PhysicsX Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Platform Engineer — Scalable AI Storage in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Golang, Rust, or Python. This is your chance to demonstrate your expertise in scalable distributed systems.

Tip Number 3

Prepare for interviews by practising common technical questions and system design scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Staff Data Platform Engineer — Scalable AI Storage in London

Golang
Rust
Python
Distributed Systems Architecture
Big Data Platforms
Mentoring
System Development
User-Centric Application Maintenance
Scalability
Reliability Engineering
Flexible Working Arrangements
Hybrid Work Setup

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your expertise in Golang, Rust, or Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with big data platforms!

Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to architecting scalable distributed systems and mentoring engineers. We love seeing candidates who take the time to connect their background to what we do!

Be User-Centric: Since maintaining reliable user-centric applications is key, share examples of how you've prioritised user needs in your previous projects. We’re all about creating great experiences, so let us know how you’ve contributed to that!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at PhysicsX Ltd

Know Your Tech Stack

Make sure you brush up on your skills in Golang, Rust, and Python. Be ready to discuss your experience with big data platforms and how you've used these technologies in past projects. This will show that you're not just familiar with the tools but can also apply them effectively.

Showcase Your Architectural Skills

Prepare to talk about your experience in architecting scalable distributed systems. Think of specific examples where you’ve designed systems for complex simulation data. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.

Mentorship Matters

Since mentoring is part of the role, be ready to share your experiences in guiding other engineers. Discuss your approach to mentorship and how you’ve helped others grow in their careers. This will show that you’re not only a technical expert but also a team player.

Embrace Flexibility

With the hybrid work setup, it’s important to express your adaptability. Talk about how you manage your time and productivity in both remote and in-office environments. This will reassure them that you can thrive in their flexible working arrangements.

Staff Data Platform Engineer — Scalable AI Storage in London
PhysicsX Ltd
Location: London

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