The job, in the employer's words
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.
Requirements
Degree in a related technical field: Computer science, software engineering or similar.
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 and databases.
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.
Benefits
An Ambitious, Collaborative Culture: Join a close-knit team with the pace, openness and shared sense of purpose of a high-growth start-up. We work together from our hub and make time for regular team socials and company offsites.
Hybrid Flexibility: Spend three or more days each week in our hub, with flexibility to work remotely for the remainder.
Benefits mentioned
- An Ambitious, Collaborative Culture: Join a close-knit team with the pace, openness and shared sense of purpose of a high-growth start-up. We work together from our hub and make time for regular team socials and company offsites.
- Hybrid Flexibility: Spend three or more days each week in our hub, with flexibility to work remotely for the remainder.
Requirements mentioned
- Degree in a related technical field: Computer science, software engineering or similar.
- 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 and databases.
- 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.
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