Senior Site Reliability Engineer - Linux/AWS/GCP

Overview

Kaseya is seeking a Senior DevOps Engineer for its SaaS Backup engineering team to help build and operate the next generation of its backup storage platform, focused on reliability, scalability and operational health of a cloud-agnostic platform.

What you'll do

• Own Kubernetes cluster operations, including provisioning, multi-tenant isolation, resource governance, and custom controllers.
• Design and maintain end-to-end CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD.
• Build and maintain production-scale Infrastructure as Code using Terraform, following modular, versioned, and reusable design principles.
• Manage observability platforms using Prometheus, Grafana, or Datadog; define SLOs/SLAs and reduce alert noise.
• Lead incident response, including on-call support, triage, runbooks, root cause analysis, and postmortems.
• Enforce infrastructure and pipeline security through Vault, RBAC, image scanning, and audit logging.
• Automate operational tasks using Go, Python, and Shell scripting while improving tooling across Ansible, Terraform, and Kubernetes.
• Manage hybrid networking, including DNS, load balancing, firewalls, VPCs, and overlay networks.

What you'll need

• 8–12 years of experience in DevOps or Site Reliability Engineering (SRE), including at least 3 years managing large-scale production infrastructure.
• Strong hands-on experience with Kubernetes cluster operations, custom controllers, and multi-tenant workload isolation.
• Production-scale Infrastructure as Code expertise with Terraform, along with CI/CD pipeline ownership using GitHub Actions, Jenkins, or ArgoCD.
• Experience with observability, SLO/SLA definition, incident management, structured on-call practices, and postmortems.
• Strong knowledge of Linux performance tuning, kernel parameters, storage I/O, hybrid networking, infrastructure security, and automation using Go or Python.

Nice to have

• Experience with OpenStack components, including Nova, Swift, Neutron, and Cinder, at scale.
• Experience managing multi-cloud environments across AWS, GCP, Azure, and private cloud.
• Experience operating large-scale infrastructure with 5,000+ nodes, including capacity planning and hardware lifecycle management.
• Knowledge of FinOps, cloud cost analysis, resource rightsizing, and storage tiering.
• Experience with Chaos Engineering tools such as Chaos Monkey, Litmus, or equivalent.
• Familiarity with bare-metal provisioning technologies such as PXE, IPMI, Ironic, or MaaS.
• Experience with backup and disaster recovery concepts, including RPO/RTO, storage replication, and data protection pipelines.
• Familiarity with compliance standards such as SOC 2, ISO 27001, or HIPAA.