Senior​/Site Reliability, Platform Engineering

Saviynt is a leader in identity security, delivering an AI-powered platform that governs and secures access to applications, data, and business processes for global enterprises and government institutions. Built for the AI era, Saviynt helps organizations move faster—securely and compliantly.

Saviynt’s SaaS platform runs on complex, distributed, cloud-native systems. As a Staff Platform Engineer, you will play a critical role in ensuring these systems remain highly available, scalable, and secure as the company grows.

This is a hands‑on engineering and technical leadership role. You will own reliability for major platform domains, design scalable solutions on Kubernetes and AWS, and drive automation and reliability improvements across multiple teams.

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., Git Lab 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

6+ 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…