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Tech Stack
Tools & technologiesAWSBigQueryCloudDockerGoogle Cloud PlatformGrafanaKafkaKubernetesMySQLPrometheusSQLTerraform
About the role
Key responsibilities & impact- Build and maintain infrastructure powering all company systems and supporting operational tools
- Hunt down and eliminate manual toil through automation
- Use AI agents to write, test, and ship infrastructure code
- Create, improve, and maintain internal agentic tools and harnesses
- Write Terraform modules for deploying infrastructure through GitLab pipelines
- Develop Helm charts for deploying services and jobs in Kubernetes
- Define metrics, network policies, and routing rules for the Istio service mesh
- Monitor and maintain GCP BigQuery, Spanner, and CloudSQL databases
- Send metrics to Google-managed Prometheus and build Grafana dashboards and alerts
- Experiment with GCP offerings, third-party vendors, AI tooling, and open-source projects to automate and secure operations
- Pair with engineering leads to instrument and monitor critical functionality
- Participate in architecture design and capacity planning
- Build, maintain, and improve the CI/CD pipeline
- Collaborate with nearly every engineering team to improve system efficiency and scalability
Requirements
What you’ll need- 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
- Demonstrated fluency directing AI coding agents (e.g. Claude Code, Cursor, or similar) to build, operate, and debug real infrastructure
- Robust and experienced judgment on verification of AI agents' work
- Track record of replacing manual operations with durable automation
- Experience with Docker, Kubernetes, and Istio or similar service mesh technology
- Experience with SQL database technologies such as MySQL, Google BigQuery, and Google Spanner
- Experience with stream technologies such as Kafka and Amazon Kinesis
- Experience with pub/sub technologies such as AWS SNS and Google Pub/Sub
- Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run
- Experience with infrastructure-as-code tools such as Terraform
- Experience with observability tools such as Datadog, Prometheus, and Grafana
- Strong computer science and software engineering fundamentals
- Experience with SOC2 and PCI Compliance processes and requirements
- Willingness to learn and teach in a fast-paced, collaborative environment
- Strong desire to automate things
- Ability to provide and seek constructive feedback
- Willingness to tinker with and stress-test new technologies
Benefits
Comp & perks- Remote arrangement may be discussed for the right candidate
- Opportunity to work with modern technologies and architectures
- Opportunity to help define and evolve inclusive, data-powered financial products
- Collaborative environment with colleagues across backend, frontend, data science, and product teams