Principal Software Engineer, Platform Engineering & Edge Infrastructure

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.

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. 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 & ComplianceThis 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.

WHAT YOU WILL BE DOING

WHAT YOU BRING

• 1+ years of Principal-level of 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.