Principal Software Engineer, Platform Engineering & Edge Infrastructure
$240k - $250k per yearSaviynt
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
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
WHAT YOU WILL BE DOING
Design and operate the infrastructure powering Cloud and Edge platform deployments.
Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
Design highly available deployment architectures supporting secure fail‑closed operation and resilient policy synchronization.
Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
AI & Agentic Engineering
Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
WHAT YOU BRING
1+ years of Principal-level platform engineering, DevOps, or Site Reliability Engineering experience.
Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
Strong experience in Linux systems administration and infrastructure automation.
Experience deploying highly available distributed enterprise software across multiple customer environments.
Hands‑on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
Strong operational mindset with excellent communication, collaboration, and leadership skills.
$240,000 - $250,000 a year
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 $240,000 - $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.
REQUIRED TRAINING AND POLICIES
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 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, and Privacy Policy.
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.
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Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
WHAT YOU WILL BE DOING
Design and operate the infrastructure powering Cloud and Edge platform deployments.
Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
Design highly available deployment architectures supporting secure fail‑closed operation and resilient policy synchronization.
Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
AI & Agentic Engineering
Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
WHAT YOU BRING
1+ years of Principal-level platform engineering, DevOps, or Site Reliability Engineering experience.
Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
Strong experience in Linux systems administration and infrastructure automation.
Experience deploying highly available distributed enterprise software across multiple customer environments.
Hands‑on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
Strong operational mindset with excellent communication, collaboration, and leadership skills.
$240,000 - $250,000 a year
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 $240,000 - $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.
REQUIRED TRAINING AND POLICIES
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 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, and Privacy Policy.
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.
#J-18808-Ljbffr
Vacancy posted 58 minutes ago
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