Senior Real-Time Platform Engineer – AI & Data Infra

Permutable

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Office in Vauxhall

Job summary

Permutable is hiring a Senior Platform Engineer to own the infrastructure behind our market intelligence platform. You will shape architecture decisions, work with the founder and engineering team, and build systems for real-time, event-driven processing.

You’ll manage AWS infrastructure, Python services, and AI workloads across distributed workflows, with a focus on reliability, monitoring and scalable deployments in production.

Qualifications

  • Hands-on platform engineering or distributed backend experience in production systems.
  • Experience designing and operating services on AWS with trade-off explanations.
  • Strong Python engineering skills for production services or data processing.
  • Experience with event-driven architectures, messaging, queues and distributed workflows.
  • Practical experience with containers, IaC and CI/CD; Pulumi or Terraform welcome.
  • Understanding of databases and observability to diagnose production issues.

Responsibilities

  • Develop and operate reliable production platform across AWS (EKS/ECS, RDS, S3).
  • Move processing towards real-time with event-driven architectures and robust retries.
  • Build infrastructure for AI workflows and model routing in production.
  • Improve deployment and reliability via Pulumi and GitHub Actions; enhance monitoring and tracing.
  • Support demanding NLP/LLM workloads with GPU infrastructure and production readiness.

Skills

Platform engineering
SRE
AWS
Python
Event-driven
CI/CD
Observability
Databases

Tools

Docker
RDS/PostgreSQL
S3
EKS/ECS
Pulumi
Terraform
GitHub Actions
Pulumi

Job description

Permutable is hiring a Senior Platform Engineer to own the infrastructure behind our market intelligence platform. You will shape architecture decisions, work with the founder and engineering team, and build systems for real-time, event-driven processing.

You’ll manage AWS infrastructure, Python services, and AI workloads across distributed workflows, with a focus on reliability, monitoring and scalable deployments in production.

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