Overview
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 Saviyn
Full 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 www.saviynt.com.
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.
Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.
Build the Cloud Control Plane responsible for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.
Build distributed Edge Backends that operate as local Points of Presence (PoPs) for headquarters, regional hubs, branch offices, and customer data centers.
Design resilient policy synchronization from Cloud → Edge → Endpoint with secure fail-closed enforcement during connectivity failures.
Build enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, applications, databases, and AI agents.
Develop access-brokering capabilities that enable privileged access to applications, machines, and services through local Edge Backends.
Design highly available, observable, and resilient distributed systems using modern cloud-native technologies.
Mentor engineers, lead architecture discussions, and drive engineering best practices.
AI & Agentic Engineering
Leverage AI-assisted software development throughout the SDLC to improve productivity, code quality, testing, documentation, and operational excellence.
Build platform capabilities to discover, govern, and secure AI agents, automation frameworks, MCP servers, and agentic applications.
Develop scalable services supporting AI-native enterprise workloads.
Follow AI SDLC best practices across design, implementation, testing, deployment, and operations.r
1+ years at a Associate Principal level of backend software engineering experience.
Expert-level Go (Golang) development.
Deep experience building distributed systems and microservices.
Experience with Kubernetes, Docker, gRPC, REST APIs, and cloud-native platforms.
Experience with PostgreSQL, Redis, Kafka/NATS or similar distributed infrastructure.
Strong understanding of networking, authentication, authorization, TLS, proxies, and distributed caching.
Experience building enterprise security, IAM, PAM, Zero Trust, or networking products is highly desirable.
Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
Understanding of modern AI application architectures, including LLMs, RAG, AI Agents, orchestration frameworks, and Model Context Protocol (MCP).
Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, secure coding, CI/CD automation, observability, and responsible use of AI-generated code.
Strong technical leadership, architecture, mentoring, and communication skills.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v2
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
saviynt (lever) ↗Browse current Job and Scholarship listings from saviynt (lever) →
