Senior Software Engineer, Cloud & Edge Computing

About Saviynt

Saviynt is an identity platform built to power and protect the world at work. With the rise of AI and Agents, the identity perimeter needs to be secured at scale. 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.

In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt’s Enterprise Identity Cloud gives customers unparalleled visibility, control, and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their best work.

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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.

  
  

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  5+ years 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.

  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.