Senior Platform Engineer

Senior Platform Engineer

Full-Time 72000 - 88000 £ / year (est.) Home office (partial)
permutable.ai

At a Glance

  • Tasks: Design and scale a cutting-edge platform for real-time AI systems.
  • Company: Join Permutable, a dynamic startup transforming financial data into market intelligence.
  • Benefits: Enjoy hybrid flexibility, real ownership, and the chance to influence technology decisions.
  • Other info: Collaborate closely with founders and engineers in a fast-paced environment.
  • Why this job: Make a real impact on innovative AI projects and work with industry-leading technologies.
  • Qualifications: 7+ years in Platform Engineering, strong AWS and distributed systems experience required.

The predicted salary is between 72000 - 88000 £ per year.

At Permutable, we're building real-time AI systems that transform large volumes of global news, market and proprietary data into market intelligence and systematic signals for financial institutions. We're evolving our technology towards a more real-time, event-driven and agent-driven architecture and are looking for a Senior Platform Engineer to take ownership of the platform and infrastructure behind it.

As a small, ambitious team, you'll work directly with our founder and engineering team and have significant influence over how our next-generation architecture is designed and built.

What You'll Do

  • Design & Scale our Platform: Build and evolve highly available production infrastructure across AWS, Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3.
  • Build Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems.
  • Build Infrastructure for AI Agents: Develop the infrastructure required to run increasingly agent-driven AI workflows reliably in production, including state management, task execution, model routing, retries and observability.
  • Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure.
  • Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through GitHub Actions.
  • Own Reliability & Observability: Build monitoring, logging, tracing and alerting across our data, model, service and agent infrastructure.

What We're Looking For

  • 7+ years of professional experience in Platform Engineering, Infrastructure, SRE, DevOps or distributed backend engineering.
  • Strong AWS experience, ideally including EKS/ECS, RDS/PostgreSQL, S3 and Lambda.
  • Distributed Systems Experience: Strong understanding of event-driven architectures, messaging, asynchronous processing and distributed workflows.
  • Infrastructure-as-Code: Experience with Pulumi, Terraform or equivalent.
  • CI/CD & DevOps: Experience with GitHub Actions or equivalent, automated testing, deployments, monitoring and production operations.
  • Strong Engineering Fundamentals: Python, Linux, networking, databases and cloud infrastructure.
  • Production Ownership: Comfortable diagnosing difficult production problems and taking responsibility for critical infrastructure.
  • Startup Mindset: Proactive, resourceful and comfortable taking ownership in a fast-moving engineering environment.
  • Bonus: with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems.

Why Permutable

  • Real Ownership: Take significant ownership of our production architecture and infrastructure.
  • Build the Next Generation: Help move our platform towards real-time, event-driven and agent-driven architecture.
  • AI at Scale: Work with LLMs, AI agents, quantitative models and large volumes of continuously arriving data.
  • Technical Influence: Have a meaningful say in architecture and technology decisions.
  • Real Production Impact: Your work will quickly reach production and support institutional financial clients.
  • Hybrid Flexibility: Spend 3+ days/week in our Vauxhall hub.

Senior Platform Engineer employer: permutable.ai

Permutable is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about technology and AI in the financial sector. Located in London, we offer competitive benefits, a collaborative environment, and ample opportunities for professional growth, ensuring that our employees can thrive while contributing to cutting-edge solutions. Join us to be part of a forward-thinking team where your expertise will make a meaningful impact.

permutable.ai

Contact Details:

permutable.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Platform Engineer

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 permutable.ai 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 permutable.ai.

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 permutable.ai.

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 permutable.ai 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 Senior Platform Engineer

AWS
Kubernetes
EKS
ECS
Docker
RDS
PostgreSQL

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 permutable.ai.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at permutable.ai 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 permutable.ai

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 permutable.ai 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.