Associate Principal Software Engineer, Cloud & Edge Backend

Posted Yesterday
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2 Locations
Hybrid
220K-235K Annually
Senior level
Software
The Role
Design and implement scalable, resilient cloud and edge microservices in Go for an AI-focused identity and privileged access platform. Build cloud control plane and distributed edge backends, ensure secure policy synchronization and discovery, integrate AI-native features, mentor engineers, and drive architecture and engineering best practices.
Summary Generated by Built In
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.

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.r

WHAT YOU BRING

    • 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.

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.

Skills Required

  • 8+ years of backend software engineering experience.
  • Expert-level Go (Golang) development.
  • Deep experience building distributed systems and microservices.
  • Experience with Kubernetes, Docker, gRPC, and REST APIs.
  • Experience with PostgreSQL and Redis.
  • Experience with Kafka, NATS, or similar distributed messaging infrastructure.
  • Strong understanding of networking, authentication, authorization, TLS, proxies, and distributed caching.
  • Experience building enterprise security, IAM, PAM, or Zero Trust products.
  • Hands-on experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Cursor).
  • Understanding of modern AI application architectures (LLMs, RAG, AI Agents) and MCP.
  • Familiarity with AI SDLC best practices, automated testing, secure coding, CI/CD automation, and observability.
  • Strong technical leadership, architecture, mentoring, and communication skills.

Saviynt Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Saviynt and has not been reviewed or approved by Saviynt.

  • Leave & Time Off Breadth Time off is described as flexible, with policies including flexible time off and mentions of unlimited PTO. This breadth can make time away easier to take alongside company holidays.
  • Wellbeing & Lifestyle Benefits In‑office amenities such as catered food, drinks, and snacks, plus social events like birthday celebrations and team outings, are highlighted. These lifestyle perks add day‑to‑day convenience and connection.
  • Career-Linked Recognition & Rewards Employee recognition is emphasized, with programs to celebrate those who go above and beyond. Regular recognition activities are cited alongside team bonding initiatives.

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The Company
HQ: El Segundo, CA
Year Founded: 2010

What We Do

Saviynt’s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and privileged access to secure the entire business ecosystem and provide a frictionless user experience.

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