Principal Site Reliability Engineer, Edge

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

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What Will You 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 Do You Bring

1+ years of experience as a Principal SRE 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 building globally distributed and highly available platform

Proficiency in establishing and utilizing comprehensive Observability and Monitoring platforms (e.g., Prometheus, Grafana, ELK stack, Datadog) for shared infrastructure

Strong experience with RESTful API design principles and building well-documented, consumable APIs

Knowledge of Service Mesh concepts and practical experience with solutions like Istio in a platform context

Hands-on experience with Relational Databases (e.g., MySQL, PostgresSQL), ideally in managing them as a service

Excellent communication skills and the ability to clearly articulate complex technical concepts to both technical and non-technical audiences

A strong customer-centric mindset, treating internal development teams as your primary customers

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience or equivalent military experience required

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment.

If you're resilient and enjoy working in a dynamic environment you belong with us!

Security & Compliance This role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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