Principal Engineer, Cloud Platforms

Job Description

Job Description

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 

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

• 1+ years of Principal-level 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

We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $235,000 - $250,000 annually.

You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

 

If required for this role, you will:

- Complete security & privacy literacy and awareness training during onboarding and annually thereafter

- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy

> Incident Response Policy/Procedures

> Business Continuity/Disaster Recovery Policy/Procedures

> Mobile Device Policy

> Account Management Policy

> Access Control Policy

> Personnel Security Policy

> Privacy Policy

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!

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. If you would like more information about how your data is processed, please contact us.