Define and drive the reliability strategy for our SaaS platform
Shape how Saviynt designs, operates, and measures reliability at scale
Instrumental in designing, building, and maintaining the shared infrastructure services and platforms
Creating reusable, reliable, and scalable solutions that abstract away complexity
Design and build core platform components and shared infrastructure services
Architect, implement, and manage highly available and scalable Kubernetes platforms as a service
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.)
Design and implement shared Event-Driven Architecture components and messaging platforms
Develop and maintain robust CI/CD pipelines (e.g., GitLab CI and ArgoCD) as a service
Design and build resilient Distributed Systems components
Manage and optimize shared infrastructure across Multi-Region Cloud Environments
Establish and enhance centralized Observability and Monitoring platforms and tools
Define and implement clear, well-documented RESTful API designs
Implement and manage Service Mesh capabilities
Design, implement, and optimize highly available Relational Database services
Collaborate closely with product development teams
Participate in on-call rotations to support the critical shared infrastructure
Requirements
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 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.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Grafana
Kafka
Kubernetes
MySQL
Prometheus
Python
Go
Benefits
Competitive compensation, benefits, and growth opportunities