Requirements Summary

Strong interpersonal and teaming skills, ability to operate effectively in an agile environment, and experience as a technical lead or Staff+ IC in a global engineering organization

Benefits

Full Job Description

Role Overview As a Senior Staff DevOps Engineer, you will be a technical leader responsible for designing, building, and operating SailPoint’s global Identity Security Cloud infrastructure on AWS, Azure, and GCP. You will partner with engineering teams across India, the US, EMEA, and APAC to deliver a resilient, secure platform. What You Will Do You will serve as a Kubernetes platform leader for the team — guiding engineers on EKS and AKS operations, service mesh, and cloud-native deployment patterns across our production environments. You will also play a key role in supporting SailPoint’s PCI compliance initiative. Why It Might Be a Fit The ideal candidate is a self-starter who thrives in complex, fast-paced SaaS environments, enjoys solving hard infrastructure problems, brings expert-level Kubernetes, AWS platform, and modern AI knowledge, values quality and reliability, and is excited to thrive on an AI-enabled team. Requirements 12+ years of experience in 24×7 production operations, supporting highly available SaaS or cloud service environments. 12+ years of experience with containerization, virtualization, and configuration management technologies. 5+ years of experience with multi-account AWS cloud infrastructure. 5+ years of hands-on experience with Kubernetes in production at scale. 5+ years of experience with Terraform (IaC), managing infrastructure across multiple AWS accounts and regions. 5+ years of experience designing and implementing CI/CD pipelines, especially for Terraform, Kubernetes, and microservices. 5+ years of experience with scripting/programming languages (Python, Go, or similar) and strong shell scripting proficiency. Strong understanding of Linux, networking, distributed systems, and production troubleshooting. Hands-on experience implementing and operating a service mesh in production Kubernetes environments (Istio, Linkerd, or AWS App Mesh). Experience designing and operating multi-account AWS environments with AWS Account Factory, and organizational guardrails (SCPs, preventive/detective controls, landing-zone standards). Experience applying AI tools on AWS (e.g., Amazon Bedrock or equivalent) to improve engineering productivity, automation, or operational efficiency. Experience with monitoring and logging stacks (e.g., Prometheus, Grafana, OpenSearch or equivalent). Experience with GitOps tooling (e.g., ArgoCD, Kargo, Flux). Strong understanding of SRE principles — SLIs/SLOs, error budgets, incident management, and observability. Benefits Fully remote position Significant technical influence across the organization Mentorship and opportunities for growth Competitive salary and equity Opportunities for professional development and learning Collaborative and dynamic work environment

Skills and Technologies