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Saviynt

Principal Site Reliability Engineer

Saviynt • IN
Python Hybrid
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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.

We’re building an AI-native platform powered by LLMs and autonomous agents, designed to scale intelligently and operate with minimal human intervention. Our stack runs on AWS + Kubernetes, with deep integration of LLM capabilities to create self-healing, adaptive systems.

As a Principal SRE Engineer, you’ll define the reliability vision and architecture of our platform. This is a hands-on leadership role where you’ll drive strategy, design large-scale distributed systems, and pioneer AI-driven operations (AIOps).

You won’t just improve reliability—you’ll redefine how reliability works in an AI-first world.

WHAT YOU BRING

  • 10+ years in SRE / Platform / Distributed Systems Engineering.
  • Proven experience designing and operating large-scale distributed systems.
  • Deep expertise in:
    • AWS architecture at scale
    • Kubernetes internals and operations
    • System reliability, scalability, and performance engineering
    • Strong programming skills (Python / Go) with focus on building platforms/tools.
    • Experience leading cross-functional technical initiatives.
    • Ability to influence architecture and engineering culture across the company.

      • AI / LLM & Future Systems (Highly Valued)

      • Experience integrating LLMs into production systems (e.g., via OpenAI API).
      • Built or designed AI-driven automation / AIOps systems.
      • Familiarity with:
        • Agent frameworks (LangChain, AutoGen)
        • RAG pipelines and vector databases
        • Strong interest in autonomous systems and self-healing infrastructure.

WHAT YOU WILL BE DOING

  • Own and define the long-term reliability strategy and architecture.
  • Design planet-scale, highly resilient systems on AWS and Kubernetes (EKS).
  • Lead the development of autonomous operations platforms powered by AI agents.
  • Architect and implement LLM-driven SRE systems using tools like the OpenAI API:
    • Intelligent incident detection and triage
    • Automated root cause analysis
    • Self-healing remediation systems
    • Establish gold standards for SRE practices:
      • SLOs, SLAs, error budgets
      • Incident management frameworks
      • Reliability-first system design
      • Drive observability architecture at scale (metrics, logs, traces, events).
      • Lead cross-team initiatives to embed reliability into product and platform design.
      • Mentor senior engineers and act as a technical authority across teams.
      • Guide decisions around cost optimization, scalability, and performance trade-offs.
      • Introduce chaos engineering and resilience testing at system-wide level.
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