Associate Principal Software Engineer, Cloud & Edge Backend

Saviynt; Vancouver (WA); Sur place; USD 220 000 - 235 000; Plein temps

Résumé du poste

Saviynt is seeking founding members for its AI Security team to architect and build the next-generation platform for enterprise identity and privileged access. You will design scalable microservices in Go and lead engineering discussions across Cloud and Edge architectures.

The role emphasizes AI-assisted development, governance, and secure, observable distributed systems, with mentoring responsibilities for the team.

Qualifications

• 1+ years at an Associate Principal level of backend software engineering experience.
• Expert-level Go (Golang) development.
• Deep experience building distributed systems and microservices.
• Strong technical leadership, architecture, mentoring, and communication skills.
• Experience with Kubernetes, Docker, gRPC, REST APIs, and cloud-native platforms.

Responsabilités

• Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
• Design and develop highly scalable microservices in Go powering the Cloud Control Plane and Edge Backends.
• Mentor engineers, lead architecture discussions, and drive engineering best practices.
• Develop enterprise security capabilities including IAM, Zero Trust, and networked services.

Connaissances

Go (Golang) development

Distributed systems

Microservices

Technical leadership

Outils

Kubernetes

Docker

gRPC

REST APIs

Cloud-native platforms

PostgreSQL

Redis

Kafka/NATS

Description du poste

About the Role

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. For more information, please visit www.saviynt.com.

What you will be doing

• 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.

What you bring

• 1+ years at an 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.

Compensation

$220,000 - $235,000 a year. Competitive total rewards package, learning and tremendous opportunities to grow and advance in your career.

Compliance & Training

• 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
  • Privacy Policy

Equal Opportunity Employer

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.