Principal Site Reliability Engineer
Domain
Tech Stack
Must-Have Requirements
- ✓10+ years in SRE, Platform, or Distributed Systems Engineering
- ✓Proven experience designing and operating large-scale distributed systems
- ✓Deep expertise in AWS architecture at scale
- ✓Deep expertise in Kubernetes internals and operations
- ✓Deep expertise in system reliability, scalability, and performance engineering
- ✓Strong programming skills in Python or Go with focus on platforms/tools
- ✓Experience leading cross-functional technical initiatives
Nice to Have
- -Experience integrating LLMs into production systems
- -Built or designed AI-driven automation or AIOps systems
- -Familiarity with agent frameworks like LangChain or AutoGen
- -Experience with RAG pipelines and vector databases
- -Chaos engineering and resilience testing experience
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.
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.