Senior DevOps Engineer SailPoint DevOps & Release –3d ago

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.

As a Senior Dev Ops 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.

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, Git Ops, 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 with a follow-the-sun on-call rotation. The team owns all of SailPoint's cloud infrastructure, compute capabilities, and operational practices for a mission critical, 24x7 SaaS environment serving large enterprises worldwide. We focus on security, modern practices, and managing web platforms that serve millions of concurrent requests.

• Collaborate with engineers across teams on service mesh architecture, troubleshooting at scale, performance tuning, and capacity planning for mesh-heavy environments.
• Design, operate, and optimize production Kubernetes clusters at scale on AWS (EKS), including cluster architecture, upgrades, node management, networking, storage, and multi-tenant isolation patterns.
• Define and drive Kubernetes standards and best practices across teams, including workload design, resource management, security hardening (RBAC, Pod Security Standards, network policies), Helm/chart conventions, and deployment patterns.
• Design and scale infrastructure to meet rapidly increasing customer demand, data sovereignty requirements, and regional expansion.
• Automate deployment, monitoring, incident response, and capacity management using Git Ops and CI/CD best practices.
• Develop and improve operational practices, runbooks, and platform engineering standards.
• Collaborate with development teams to bring new features and services into production safely and efficiently.
• Proactively meet information security and compliance standards (e.g., PCI DSS), including supporting SailPoint's PCI compliance initiative through secure platform design, controls implementation, and audit readiness.
• Participate in and help improve the on-call rotation; drive post-incident reviews and systemic fixes.

• Strong interpersonal and teaming skills, with the ability to set and enforce process and influence engineers across teams and geographies.
• Ability to operate effectively in an agile, entrepreneurial environment with global stakeholders.
• 4+ years of hands-on experience designing, implementing, and operating a service mesh at scale in production Kubernetes environments.
• 7+ years of experience in 24x7 production operations, supporting highly available SaaS or cloud service environments.
• 7+ years of experience with containerization, virtualization, and configuration management technologies.
• 4+ years of hands‑on experience with Kubernetes in production at scale.
• 4+ years of experience with Terraform (IaC), managing infrastructure across multiple AWS accounts and regions.
• 4+ years of…