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For Companies At a Glance
- Tasks: Join a small, elite team to build impactful AI systems and manage cutting-edge GPU infrastructure.
- Company: Steadrock Capital, a dynamic investment firm at the forefront of AI and real estate.
- Benefits: Competitive salary, discretionary bonuses, and high autonomy in a fast-paced environment.
- Why this job: Unique chance to influence real estate strategy and grow into a CTO-level position.
- Qualifications: Strong Python skills, Linux experience, and a passion for AI and finance.
- Other info: Fast-moving, non-corporate culture with excellent career progression opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Mayfair, London
Start: Immediate
Type: Full-time, In person
Compensation: £40,000–£60,000 + discretionary bonus
About Steadrock Capital
Steadrock is a London-based multifamily office and investment firm operating at the intersection of real estate private equity, AI compute infrastructure, and quantitative finance. We recently acquired 10 Queen’s Gate Place (SW7) for redevelopment into six luxury units (Grade II listed) with a projected GDV materially above £17M. Alongside our real estate strategy, we operate a dedicated AI infrastructure stack centered on an NVIDIA DGX system, used for in-house modelling, automation, and agent development. We are building a small, elite technical team. This role is a core pillar of that team.
Role
This is a hybrid role blending backend engineering, GPU systems, AI agent development, and automation. In your role, you will work with a part time, outside, technical consultant, specialising in the responsibilities below. This will allow for structured and greatly accelerated learning. Day to day, you will work directly with the founder, our economics lead, and our quantitative modelling lead. This is not a corporate environment. We move fast, prefer clean architecture, and value people who can think independently.
Core Responsibilities
- Compute Infrastructure (DGX)
- Manage our NVIDIA DGX server (Linux environment, CUDA, system health)
- Build, test, and maintain internal APIs (FastAPI/Flask)
- Design stable ngrok / reverse-proxy / network connections for remote access
- Optimise GPU utilisation and monitor performance
- Develop pipelines for fine-tuning, embeddings, inference
- Build the “Steadrock OS”: internal dashboards, scheduling tools, risk engines
- Maintain Python codebase, Git repositories, environments
- Connect iPhone/iPad workflows with backend systems
- Build automated comparables engines
- Assist with financial modelling scripts
What You Need
Technical- Strong Python
- Experience with Linux (Ubuntu), bash, SSH
- Understanding of GPUs, CUDA basics, or willingness to learn fast
- Experience with FastAPI, Flask or similar
- Basic networking knowledge (ports, tunnels, proxies)
- SQL or NoSQL experience
- Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen)
- Exposure to Docker or Kubernetes
- Familiarity with cloud providers (AWS/Azure/GCP)
- Coursework or experience in ML, transformers, NLP, or distributed systems
- Interest in real estate
- Interest in finance or quantitative modelling
- Experience building agents (LangChain, LlamaIndex, custom architectures)
What We Offer
- Work directly with an NVIDIA DGX system
- Build AI systems from the ground up
- Very high autonomy
- Exposure to private equity, high-end real estate development, planning strategy
- Freedom to design architecture as you see fit
- A fast-moving environment with no bureaucracy
- The opportunity to become a foundational technical hire (progression is fast)
Why This Is a Unique Role
This is not a typical graduate software job. It is a rare opportunity to join a small, elite, multi-disciplinary team and:
- Build AI systems with real impact
- Architect the compute backbone of a growing multi-family office
- Influence investment analysis, real estate strategy, and automation
- Touch every part of the tech stack
- Grow into a CTO-level position
Application Process
- CV
- Short Python task (we will send a practical DGX-related challenge)
- Technical interview (systems + Python)
- Final discussion with the founder
Work Location: In person
Junior Engineer - Steadrock Capital Limited employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Engineer - Steadrock Capital Limited
✨Tip Number 1
Get to know the company inside out! Research Steadrock Capital, their projects, and their tech stack. This will help you tailor your conversations and show that you're genuinely interested in being part of their elite team.
✨Tip Number 2
Practice makes perfect! Brush up on your Python skills and get comfortable with Linux commands. You might even want to set up a mini project using FastAPI or Flask to showcase your abilities during the technical interview.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the application process.
✨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, it shows you’re serious about joining the team at Steadrock Capital.
We think you need these skills to ace Junior Engineer - Steadrock Capital Limited
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Junior Engineer role. Highlight your Python experience, any work with GPUs, and your understanding of Linux. We want to see how you fit into our fast-paced, tech-savvy environment!
Show Off Your Projects: If you've worked on any relevant projects, especially those involving AI or backend systems, make them stand out in your application. We love seeing practical examples of your skills in action, so don’t hold back!
Be Ready for the Python Task: Once you apply, you'll get a Python task related to our DGX system. Brush up on your Python skills and be prepared to showcase your problem-solving abilities. This is your chance to shine, so take it seriously!
Keep It Professional but Personal: While we appreciate a friendly tone, remember to keep your application professional. Let your personality come through, but ensure you're conveying your passion for AI, systems engineering, and our unique work environment. Apply through our website and let’s get started!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with Linux, especially Ubuntu. Familiarise yourself with CUDA basics and the NVIDIA DGX system, as these are crucial for the role. Being able to discuss your experience or willingness to learn about GPUs and backend frameworks like FastAPI or Flask will definitely impress.
✨Show Your Problem-Solving Skills
Prepare to demonstrate how you approach technical challenges. Think of examples where you've built or optimised systems, especially in a fast-paced environment. Be ready to discuss any projects involving automation or AI agent development, as this will show your ability to think independently and creatively.
✨Understand the Business Context
Since Steadrock Capital operates at the intersection of real estate and finance, having a basic understanding of these sectors can set you apart. Research their recent projects and be prepared to discuss how technology can impact investment analysis and real estate strategy. This shows you're not just a techie but also understand the bigger picture.
✨Be Ready for Practical Tests
Expect a short Python task as part of the application process. Practise coding challenges that involve building APIs or working with databases. This will help you feel more confident during the technical interview and showcase your practical skills effectively.
