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Remote role, generalist DevOps title, and metro location drive high applicant competition.
Deep Kubernetes, multi-account AWS, service-mesh, and compliance experience create strong domain-specific fit requirements.
Rigid 12+ years requirement and multiple mandatory platform skills make shortlisting highly strict.
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Lead design, build, and operation of global cloud infrastructure for SailPoint’s Identity Security Cloud across AWS, Azure, and GCP, ensuring resilience, security, and compliance with PCI DSS.
Serve as Kubernetes platform lead: architect, operate, and optimize production Kubernetes clusters (EKS/AKS), implement and standardize service mesh, and mentor engineers on best practices.
Drive AI-assisted automation using Amazon Bedrock and AI tools for infrastructure code generation, incident management, and workflow automation, and influence platform architecture and operational excellence globally.
12+ years experience in 24×7 production operations in SaaS or cloud environments with at least 5 years hands-on multi-account AWS cloud infrastructure experience.
5+ years production Kubernetes experience at scale including managing clusters on EKS and AKS, and service mesh (Istio, Linkerd, or AWS App Mesh).
5+ years experience with Terraform, CI/CD pipeline design for Kubernetes and microservices, and scripting/programming (Python, Go, shell scripting).
Bachelor’s or Master’s degree in Computer Science or equivalent technical experience; must be based in India with eligibility to work remotely and participate in on-call rotations.
Experienced technical leader accustomed to operating and scaling complex, global SaaS cloud platforms with multi-account AWS and Kubernetes environments.
Proficient in integrating AI/ML tools to improve DevOps and platform engineering workflows; strong in automation, monitoring, and SRE principles.
Capable of working across global teams in agile settings, mentoring engineers, influencing without direct authority, and driving compliance and security standards in regulated environments.