Principal Engineer, Cloud Platforms

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.
Why Join Saviynt   •        Work on a mission-critical SaaS platform used by global enterprises •        Solve complex reliability challenges at scale •        Influence architecture and engineering culture at a company level •        Competitive compensation, benefits, and growth opportunities     Security & Compliance   This role requires compliance with Saviynt’s information security and privacy policies, including annual security training

WHAT YOU WILL BE DOING

In this pivotal role, you will be instrumental in designing, building, and maintaining the shared infrastructure services and platforms that our product and application teams will depend on   You will focus on creating reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on their core business logic and deliver features faster in a multi-cloud environment   Design and build core platform components and shared infrastructure services that other development teams will integrate with and leverage to deploy and operate their applications   Architect, implement, and manage highly available and scalable Kubernetes platforms as a service for internal consumers   Develop robust, internal-facing tools and automation for infrastructure provisioning and management primarily using Go (Golang)   Architect and optimize foundational solutions within Cloud environments (AWS, Azure, etc.), focusing on creating reusable patterns and modules for other teams   Design and implement shared Event-Driven Architecture components and messaging platforms using technologies like Kafka or Google Pub/Sub that product teams can easily utilize   Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service, providing standardized and automated deployment workflows for various development teams   Design and build resilient Distributed Systems components that serve as building blocks for other applications, focusing on reliability, fault tolerance, and performance   Manage and optimize our shared infrastructure across Multi-Region Cloud Environments, ensuring that platform services are globally available and performant for all consumers   Establish and enhance centralized Observability and Monitoring platforms and tools that provide self-service insights for consuming teams   Define and implement clear, well-documented RESTful API designs for the infrastructure services you build, ensuring ease of integration for internal clients   Implement and manage Service Mesh (e.g., Envoy, Istio) capabilities, providing traffic management, security, and policy enforcement as a shared platform for services   Design, implement, and optimize highly available Relational Database services or shared data platforms for broad organizational use   Collaborate closely with product development teams to understand their infrastructure needs and pain points, providing technical guidance and support   Participate in on-call rotations to support the critical shared infrastructure you build  

WHAT YOU BRING

9+ years of experience in an Infrastructure Development, Platform Engineering, or Site Reliability Engineering role, with a strong focus on building tools and services for other engineers   Deep expertise with Kubernetes in production environments, particularly in providing it as a platform(i.e single tenant and multi-tenant deployment architectures)   Strong programming skills in Go (Golang) and Python, with experience building robust, maintainable backend services and automation   Extensive hands-on experience with at least one major Cloud Provider (AWS, GCP, or Azure); multi-cloud experience is a strong plus, especially in building abstractions over them   Proven experience designing and implementing Event-Driven Architecture and message queuing systems (e.g., Kafka, RMQ, NATS) as shared services   Solid understanding and practical experience with CI/CD pipeline tools (especially GitLab CI) and experience establishing automated delivery processes for other teams   Demonstrable experience designing and operating Distributed Systems, with an understanding of patterns for creating reliable, shared components   Familiarity with Multi-Region Cloud Environments and strategies for buildin