Associate Principal Software Engineer, Cloud & Edge Backend
Pay vs market · Near median
This job's pay ($227,500 a year at the midpoint) is higher than about 50% of 1,227 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $232,500.
Role overview
Job description
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Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
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Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.
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Build the Cloud Control Plane responsible for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.
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Build distributed Edge Backends that operate as local Points of Presence (PoPs) for headquarters, regional hubs, branch offices, and customer data centers.
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Design resilient policy synchronization from Cloud → Edge → Endpoint with secure fail-closed enforcement during connectivity failures.
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Build enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, applications, databases, and AI agents.
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Develop access-brokering capabilities that enable privileged access to applications, machines, and services through local Edge Backends.
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Design highly available, observable, and resilient distributed systems using modern cloud-native technologies.
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Mentor engineers, lead architecture discussions, and drive engineering best practices.
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Leverage AI-assisted software development throughout the SDLC to improve productivity, code quality, testing, documentation, and operational excellence.
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Build platform capabilities to discover, govern, and secure AI agents, automation frameworks, MCP servers, and agentic applications.
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Develop scalable services supporting AI-native enterprise workloads.
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Follow AI SDLC best practices across design, implementation, testing, deployment, and operations.r
AI & Agentic Engineering
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1+ years at a Associate Principal level of backend software engineering experience.
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Expert-level Go (Golang) development.
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Deep experience building distributed systems and microservices.
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Experience with Kubernetes, Docker, gRPC, REST APIs, and cloud-native platforms.
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Experience with PostgreSQL, Redis, Kafka/NATS or similar distributed infrastructure.
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Strong understanding of networking, authentication, authorization, TLS, proxies, and distributed caching.
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Experience building enterprise security, IAM, PAM, Zero Trust, or networking products is highly desirable.
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Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
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Understanding of modern AI application architectures, including LLMs, RAG, AI Agents, orchestration frameworks, and Model Context Protocol (MCP).
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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.
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Strong technical leadership, architecture, mentoring, and communication skills.
About this listing
- Source: Saviynt's official careers site (via Lever) · last confirmed on the source 7 Nov 2026
- Posted 29 Jun 2026
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Role market pulse
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Posted 30d
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Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
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
Department · Engineering
Hiring company
Saviynt
Discover Zuma by Saviynt, the enterprise AI security platform that secures every identity and enables confident AI development through comprehensive governance and risk management solutions.
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