Site Reliability Engineer: Cloud Automation & Observability

Varo; San Francisco, Salt Lake City, New York (CA, UT, NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Varo is seeking an SRE/DevOps engineer to design, build, and run large-scale, distributed systems in AWS and Kubernetes. You will scale production infrastructure, develop CI/CD pipelines, and collaborate with developers to reduce friction and improve reliability.

This role emphasizes automation, observability, and AI/ML-enabled runbooks, with on-call responsibilities and cost-optimization focus in a fast-growing fintech environment.

Qualifications

• 3+ years in an SRE, DevOps, or Infrastructure Engineering role.
• Strong hands-on experience with core AWS services including EKS, EC2, RDS Aurora, MSK, S3, IAM, VPC, and Direct Connect.
• Deep production experience with Kubernetes, Helm, and GitOps tools like ArgoCD.

Responsibilities

• Manage, upgrade, and autoscale EKS clusters across multiple environments and AWS accounts.
• Write Terraform modules and Helm charts to support GitOps workflows using ArgoCD and GitLab CI/CD pipelines.
• Maintain and troubleshoot Kafka (MSK) clusters, including broker health, connectors, and CDC pipelines.
• Improve observability using Prometheus, Grafana, and ELK while proactively identifying cloud cost-optimization opportunities.
• Automate operational tasks with Python and leverage AI/ML techniques for predictive alerting and intelligent runbooks.
• Handle Platform Service Desk requests, including Terraform merge request reviews, access management, and deployment support.
• Participate in the production on-call rotation, support incident response, and contribute to blameless post-mortems.

Skills

SRE / DevOps

AWS Expertise

Kubernetes

Terraform

ArgoCD

GitLab CI/CD

Python scripting

Tools

Terraform

Helm

ArgoCD

GitLab CI/CD

Kubernetes

Airflow

Databricks

EMR

Kafka/MSK

Job description

Varo is seeking an SRE/DevOps engineer to design, build, and run large-scale, distributed systems in AWS and Kubernetes. You will scale production infrastructure, develop CI/CD pipelines, and collaborate with developers to reduce friction and improve reliability.

This role emphasizes automation, observability, and AI/ML-enabled runbooks, with on-call responsibilities and cost-optimization focus in a fast-growing fintech environment.