Senior Platform Engineer

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.

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.