Senior Platform Engineer

Permutable; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Permutable AI is hiring a Senior Platform Engineer to own our platform and infrastructure. You will design scalable, highly available production infrastructure on AWS, Kubernetes/EKS, ECS, RDS, S3, and more, moving toward real-time event-driven services and AI agent workflows.

You’ll collaborate with founders and engineers to shape next-generation architecture, automate deployments with Pulumi/Terraform and GitHub Actions, and drive reliability across data, model, service and agent layers.

Qualifications

• 7+ years in Platform Engineering, Infrastructure, SRE, DevOps or distributed backend engineering.
• Strong AWS experience including EKS/ECS, RDS/PostgreSQL, S3 and Lambda.
• Distributed systems and event-driven architectures knowledge.
• IaC experience with Pulumi or Terraform.
• CI/CD with GitHub Actions and automated deployments.
• Strong Python, Linux, networking and cloud fundamentals.
• Proactive production ownership and fault-diagnosis.
• Startup mindset with ownership in fast-moving teams.
• Bonus: Airflow, real-time data platforms, AI/ML infra, LLM agents, GPU infra.

Responsibilities

• Design & scale our platform and infrastructure across AWS and Kubernetes.
• Move towards real-time, event-driven services and messaging.
• Build infra to run agent-driven AI workflows in production.
• Collaborate with AI engineers on NLP workloads and GPU infra.
• Automate deployments with IaC and GitHub Actions.
• Own reliability, observability, monitoring and incident response.

Skills

Years of experience

AWS expertise

Event-driven architecture

Infrastructure as code

CI/CD

Python

Linux

Production ownership

Startup mindset

Bonus: Airflow/LLM infra

Tools

Pulumi

Terraform

GitHub Actions

Job description

At Permutable AI, 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 AI?

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.