Senior Site Reliability Engineer - Linux/AWS

Overview

Kaseya is seeking a Senior DevOps Engineer to join its SaaS Backup engineering team and help build and operate the next generation of its backup storage platform, which protects Microsoft 365, Google Workspace, and Salesforce data.

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.

Details

• Location: Pune, India.