• Take ownership of scalable, secure, and highly available infrastructure across multi-cloud environments • Design systems that are reliable by default, automated end-to-end, and trusted by engineering teams • Manage full lifecycle of Kubernetes clusters • Design and maintain robust CI/CD pipelines • Build full-stack observability systems • Implement security best practices and support compliance frameworks • Apply FinOps practices for cost optimization • Use AI tools to accelerate IaC, automation, and documentation

• Design solutions following automation best practices and cloud computing principles, taking into account the context of a fast-growing fintech; • Diagnose, monitor, and document incidents to help build higher-performing solutions; • Fully automate the deployment of our applications, from code to production (Continuous Deployment); • Provide rapid feedback on code changes at scale while maintaining high security and quality standards (Continuous Integration); • Architect and implement new environments together with our Technology team; • Ensure quality and scalability for our platform.

• Design, implement, and evolve CI/CD pipelines • Provision and maintain infrastructure on GCP using Terraform and Ansible • Operate and scale Kubernetes environments (GKE) • Define, implement, and monitor SLIs, SLOs, and Error Budgets • Build observability, alerts, and APM (Dynatrace experience is a plus) • Work closely with squads, promoting platform engineering and reliability best practices

• Partner with product and platform engineering teams to improve system reliability, scalability, and developer experience • Build, maintain, and evolve CI/CD pipelines to support safe, fast, and reliable deployments • Improve observability through better monitoring, alerting, logging, and telemetry • Implement and maintain Infrastructure as Code (Terraform) to manage cloud resources safely and reproducibly • Operate and scale containerized workloads (Kubernetes, Docker) • Support and evolve Zipline's AWS-based cloud infrastructure (experience with GCP or Azure is a plus) • Assist our Data team in codifying and maintaining our data warehouse and ML infrastructure on GCP. • Participate in an on-call rotation, responding to and resolving production incident • Contribute to incident follow-ups and postmortems by helping implement durable fixes and reducing operational toil • Collaborate with Rails-focused product teams to improve reliability, performance, and deployment workflows