Principal Site Reliability Engineer

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.

• 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.

• 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.