Senior DevOps Engineer
Company: SailPoint Technologies
Location: United States (Remote)
Salary: $101,000 - $170,274 a year
Type: Full-time
Remote: Yes
Posted: 2026-09-28
About this role
About SailPoint
SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving customers unmatched visibility into their digital workforce and ensuring workers have the right access, no more and no less.
Built on a foundation of AI and machine learning, our Identity Security Cloud (Atlas) platform delivers the right level of access to the right identities and resources at the right time, matching the scale, velocity, and changing needs of today's cloud-oriented enterprise. SailPoint is all-in on the AI revolution, and our engineers have access to the latest frontier models and agentic frameworks.
About the Role
As a Senior Staff DevOps Engineer on the Infrastructure Platform team, you will be a technical leader responsible for designing, building, and operating SailPoint's global Identity Security Cloud infrastructure on AWS. You will partner with engineering teams across the US, India, EMEA, and APAC to deliver a resilient, secure platform.
About the Team
The Infrastructure Platform Team designs and operates the foundational cloud infrastructure that powers SailPoint's Identity Security Cloud. Our platform runs on a mature, cloud-native, event-driven microservices architecture on AWS, with Kubernetes, GitOps, and Infrastructure-as-Code at the core. We also build and operate the data platform and AI/ML tooling that underpin SailPoint's identity intelligence capabilities, supporting large-scale data pipelines, model serving infrastructure, and the integrations that bring AI-driven insights into our products.
The Infrastructure Platform Team designs and operates the foundational cloud infrastructure that powers SailPoint’s Identity Security Cloud. Our platform is built on a combination of microservices, data pipelines, machine learning, and AI tooling, most of which relies on Kubernetes for compute.
Engineers work closely with global peers wit...