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Principal Engineer, Cloud Platforms
Job in
Milpitas, Santa Clara County, California, 95035, USA
Listed on 2026-06-14
Listing for:
Saviynt
Full Time
position Listed on 2026-06-14
Job specializations:
-
Software Development
DevOps, Cloud Engineer - Software, Backend Developer
Job Description & How to Apply Below
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.
WhyJoin 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
This role requires compliance with Saviynt’s information security and privacy policies, including annual security training.
What You Will Be Doing- Design, build, and maintain shared infrastructure services and platforms that our product and application teams will depend on.
- Create reusable, reliable, and scalable solutions that abstract away complexity, enabling other teams to focus on core business logic in a multi‑cloud environment.
- Design and build core platform components and shared infrastructure services for use by other development teams.
- 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 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.
- Develop and maintain robust CI/CD pipelines (e.g., Git Lab CI and ArgoCD) as a service, providing standardized and automated deployment workflows.
- 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 shared infrastructure across multi‑region cloud environments, ensuring global availability and performance.
- Establish and enhance centralized observability and monitoring platforms and tools that provide self‑service insights for consuming teams.
- Define and implement well‑documented RESTful API designs for the infrastructure services.
- Implement and manage service‑mesh (e.g., Envoy, Istio) capabilities for traffic management, security, and policy enforcement.
- 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 provide technical guidance and support.
- Participate in on‑call rotations to support the critical shared infrastructure you build.
- 9+ years of experience in an infrastructure development, platform engineering, or site reliability engineering role, focusing on building tools and services for other engineers.
- Deep expertise with Kubernetes in production environments, especially 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.
- Proven experience designing and implementing event‑driven architecture and message‑queuing systems (e.g., Kafka, RMQ, NATS).
- Solid understanding and experience with CI/CD pipeline tools (especially Git Lab CI) and establishing automated delivery processes.
- Demonstrable experience designing and operating distributed systems with reliable shared components.
- Familiarity with multi‑region cloud environments and strategies for building globally distributed and highly available platforms.
- Proficiency in establishing…
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