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Senior Platform Engineer

Permutable
GBR
Full-time
Mid-Senior
Hybrid
Discovered 1 weeks ago
Platform engineeringAWSKubernetes and EKSECSDockerRDS and PostgreSQL
Free

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Platform engineeringAWSKubernetes and EKS
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Role overview

Permutable AI builds real-time AI systems that transform global news, market and proprietary data into market intelligence and systematic signals for financial institutions.

The Senior Platform Engineer will own the platform and infrastructure behind a more real-time, event-driven and agent-driven architecture.

The role offers significant influence over next-generation architecture and works directly with the founder and engineering team.

Platform and infrastructure

  • Design and evolve highly available production infrastructure across AWS, Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL and S3.
  • Help transition scheduled pipelines to real-time, event-driven services using messaging, queues, asynchronous processing and distributed systems.
  • Develop infrastructure for agent-driven AI workflows, including state management, task execution, model routing, retries and observability.
  • Support production NLP, LLM and quantitative model workloads, including in-house GPU infrastructure.

Automation and reliability

  • Build and manage infrastructure as code using Pulumi.
  • Automate deployments through GitHub Actions.
  • Build monitoring, logging, tracing and alerting across data, model, service and agent infrastructure.
  • Diagnose difficult production problems and take ownership of critical infrastructure reliability.

What we are looking for

  • 7+ years of professional experience in Platform Engineering, Infrastructure, SRE, DevOps or distributed backend engineering.
  • Strong AWS experience, ideally including EKS or ECS, RDS/PostgreSQL, S3 and Lambda.
  • Strong understanding of event-driven architectures, messaging, asynchronous processing and distributed workflows.
  • Experience with Pulumi, Terraform or an equivalent infrastructure-as-code tool.
  • Experience with GitHub Actions or equivalent, automated testing, deployments, monitoring and production operations.
  • Strong engineering fundamentals in Python, Linux, networking, databases and cloud infrastructure.
  • Ability to diagnose difficult production problems and take responsibility for critical infrastructure.
  • A proactive and resourceful approach suited to a fast-moving engineering environment.

Bonus experience

  • Experience with Apache Airflow, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure or financial-market systems is a bonus.

Work arrangement

  • The role offers hybrid flexibility with at least three days per week spent in the Vauxhall hub.

Why Permutable AI

  • Take significant ownership of production architecture and infrastructure.
  • Help build real-time, event-driven and agent-driven systems with LLMs, AI agents and quantitative models.
  • Influence architecture and technology decisions with rapid production impact for institutional financial clients.

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