We're looking for a smart and capable DevOps Engineer. You will be part of a small and agile team, working on well-built infrastructure, handling production workloads, building and maintaining infrastructure that supports continuous delivery. This job includes work across the devops stack, including agent development, CI/CD, networking, resource allocation, cloud architecture, security, developer experience, and more.

We work with enterprise customers, with the SLA and expectations that this dictates.

What will you DO:

• Design and evolve our cloud multi-region architecture on AWS - networking, interconnects, IAM and high-availability topology - and express it entirely as code with Terraform, following GitOps as a first principle.
• Build and own the CI/CD pipelines that plan, review, test and safely apply IaC changes - Policy-as-Code guardrails, drift detection and progressive rollout so infrastructure changes ship as confidently as application code.
• Advance Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can provision what they need
• Strengthen our observability stack - metrics, logs, traces and alerting.
• Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
• Design and develop the next generation of AI agents to support higher pace and evolve the RnD productivity while maintaining security and engage the entire company to use AI for better solutions.

What will YOU bring to the team:

• 5+ years in DevOps/SRE/Platform, operating production cloud infrastructure at scale.
• Deep hands-on Kubernetes
• Strong cloud experience with AWS (or GCP/Azure with the appetite to go deep on AWS)
• Infrastructure as Code as your default way of working
• Python - build and maintain internal tools
• CI/CD ownership, ideally GitHub Actions
• Development of agent, AI infrastructure, LLM infra, etc
• Strong debugging and troubleshooting instincts in distributed systems
• Good communication across teams; English, written and verbal