Senior/Staff Site Reliability Engineer (AI)

Location: Remote; hybrid schedules are available in Chicago, IL and New York, NY with 4 days in the office and 1 day remote. A remote arrangement may be discussed for the right candidate.

Company

hirify.global operates Klover, a U.S. fintech platform providing financial tools, rewards, and services to more than one million active users each month.

What you will do

• Build, maintain, and scale infrastructure and supporting tools for production systems.
• Eliminate manual toil by developing automation and AI-assisted operational workflows.
• Write Terraform modules and Helm charts for infrastructure and Kubernetes deployments through GitLab pipelines.
• Define metrics, network policies, and routing rules for the Istio service mesh.
• Monitor GCP BigQuery, Spanner, and CloudSQL databases, and build Prometheus and Grafana dashboards and alerts.
• Partner with engineering teams on instrumentation, architecture, capacity planning, reliability, security, and CI/CD improvements.

Requirements

• 6+ years of experience building and maintaining large-scale cloud-native infrastructure with AWS and/or GCP.
• Demonstrated experience directing and verifying AI coding agents such as Claude Code, Cursor, or similar tools for real infrastructure work.
• Experience with Docker, Kubernetes, Istio or a similar service mesh, and infrastructure-as-code tools such as Terraform.
• Experience with SQL databases including MySQL, BigQuery, or Spanner; stream technologies such as Kafka or Kinesis; and pub/sub technologies such as AWS SNS or Google Pub/Sub.
• Experience with serverless technologies, observability tools such as Datadog, Prometheus, or Grafana, and CI/CD pipelines.
• Strong software engineering fundamentals and experience with SOC2 and PCI compliance processes.

Culture & Benefits

• Automation is prioritized over manual runbooks and repetitive operations.
• Collaborative work with backend, frontend, data science, product, and engineering teams.
• Opportunities to experiment with GCP services, AI tooling, third-party vendors, and open-source projects.
• Fast-paced environment with opportunities to learn, teach, exchange feedback, and test new technologies.