What You'll Do
Platform and infrastructure (K8s + IaC).
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability.
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve.
Build the foundations that let the team provision and scale services without friction.
AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel.
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive.
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs.
CI/CD and developer experience.
Own build and deploy pipelines end-to-end - fast, safe, boring releases.
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar.
Reduce the time from merged to in production and from idea to running experiment.
Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents.
Own incident response and the reliability practices that keep enterprise customers SLAs intact.
Turn incidents into systemic fixes, not repeated firefighting.
Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform.
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high).
Build security into the pipeline so it is the default, not a gate.
Requirements: Strong DevOps/platform/SRE experience at a company with a real engineering culture (FAANG, unicorn, or a well-established startup with high standards).
Deep Kubernetes and AWS - you have architected, scaled, and debugged production clusters, not just deployed to them.
Infrastructure as code in your bones - Terraform or equivalent, with strong opinions on reproducibility and auditability.
CI/CD ownership - you have built pipelines that engineers trust and rarely think about.
Production observability and incident response at meaningful scale.
Comfort with and curiosity about AI/LLM workloads. We are an AI-native company; you should be using AI in how you work, and excited to operate the infrastructure agents run on.
This position is open to all candidates.