Associate Principal Software Engineer, Cloud & Edge Backend

Medium; Milpitas (CA); On-site; USD 220,000 - 235,000; Full time

Job summary

Saviynt is hiring for an Associate Principal backend engineer to architect and implement an AI-powered security platform. You will design scalable Go microservices powering Cloud Control Planes and Edge Backends, enabling secure, auditable access across enterprise environments.

You will lead architecture discussions, mentor engineers, and champion cloud-native practices while advancing AI-enabled development and governance features.

Qualifications

• 1+ years at an Associate Principal level of backend software engineering experience.
• Expert-level Go (Golang) development.
• 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 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.

Responsibilities

• Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
• Design and develop highly scalable microservices in Go that power the Cloud Control Plane and distributed Edge Backends.
• Build the Cloud Control Plane for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.
• Develop distributed Edge Backends operating as local PoPs for HQs, regional hubs, and data centers.
• Design policy synchronization from Cloud to Edge to Endpoint with secure fail-closed enforcement during outages.
• Create enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, apps, databases, and AI agents.
• Build access-brokering capabilities for privileged access through local Edge Backends.
• Design highly available, observable distributed systems using modern cloud-native tech.
• Mentor engineers, lead architecture discussions, and drive engineering best practices.
• Leverage AI-assisted software development throughout the SDLC to improve productivity.

Skills

Go development

Distributed systems

Backend architecture

Leadership & mentoring

Communication skills

Tools

Kubernetes

Docker

gRPC

REST APIs

Cloud-native platforms

PostgreSQL

Redis

Kafka/NATS

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.

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 to Edge to 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.

Salary $220,000 - $235,000 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 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 $220,000 - $235,000 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 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

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.