At a Glance
- Tasks: Lead the design and maintenance of cloud systems for rapid product growth.
- Company: Join a fast-growing AI platform transforming financial institutions.
- Benefits: Competitive salary, equity, and a supportive work environment.
- Other info: Directly report to founders with successful venture-backed exits.
- Why this job: Be part of an exciting journey in a dynamic startup atmosphere.
- Qualifications: 4-7 years in cloud infrastructure with strong technical skills.
The predicted salary is between 63000 - 77000 £ per year.
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever.
We are seeking an experienced Platform Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost-efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance.
You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit-ready, highly available, and optimized for both performance and cost.
Responsibilities
- Architect, implement, and maintain cloud infrastructure to support rapid product growth.
- Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations.
- Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases.
- Drive product-wide systems for logging, metrics, tracing, alerting and on-call processes.
- Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance.
- Act as the internal advocate for operational excellence.
What you can expect
It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way.
Requirements
- Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions.
- Observability: Experience implementing logging, metrics, and tracing frameworks.
- Security: Familiarity with best practices, secrets management, and security scanning tools.
- Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls.
- Databases & Storage: Experience with provisioning, scaling, and managing production-grade databases (PostgreSQL, MySQL, NoSQL) and blob storage.
- Scripting & Automation: Strong skills in Python or Bash for automation and tooling.
Experience
- 4–7 years of relevant experience, ideally including startup or high growth/high load environments.
- Proven track record of owning infrastructure end-to-end — from architecture through production support.
- Experience implementing reliability, security, and compliance measures ahead of scale-up or audit readiness.
- History of driving cost efficiency while enabling growth.
- Exposure to SOC 2, ISO 27001, or GDPR compliance processes.
What We Offer
You will be reporting directly to the founders, who have two successful venture-backed exits under their belt. Competitive salary + equity. Supportive and innovative work environment.
About the interview
Our Process: We're very conscious of everyone's time, so we want to make the process as efficient as possible.
- Call 1: 30-minute intro call with our Talent Acquisition team
- Call 2: 30-minute technical screen
- Call 4: Onsite interview with Engineering Leadership
Member of Technical Staff - Platform in London employer: Nodi
Model ML is an exceptional employer, offering a dynamic and innovative work environment where you can directly impact the future of AI in finance. With competitive salaries, equity options, and the opportunity to work closely with experienced founders, employees are encouraged to grow and thrive while tackling challenging projects that push the boundaries of technology. Join us in a fast-paced, supportive culture that values operational excellence and fosters continuous learning as we scale our groundbreaking platform.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - Platform in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Nodi or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Nodi.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Nodi.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Nodi that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Member of Technical Staff - Platform in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Nodi.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Nodi and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Nodi
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Nodi uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
