Sr. DevOps Engineer

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Senior DevOps Engineer

Experience: 8–12 Years Location: Pune (Hybrid/Onsite)

About the Role

We are looking for an experienced Senior DevOps Engineer with deep expertise in Linux Administration to join our Backup Platform Engineering team. In this role, you will own the reliability, scalability, and performance of large-scale Linux infrastructure that powers our next-generation backup and disaster recovery platform. You will work closely with software engineering, SRE, and platform teams to automate infrastructure, improve operational excellence, and ensure highly available production environments.

Key Responsibilities

• Design, build, and manage highly available Linux-based production infrastructure supporting mission-critical backup services.

• Administer and optimize large-scale Linux environments, including performance tuning, kernel configuration, storage, networking, and system troubleshooting.

• Manage Kubernetes clusters, ensuring reliability, scalability, security, and efficient resource utilization.