Key skills
AWSDistributed SystemsKubernetesPythonGoAILLMOpenAIEKS
About this role
Role Overview
- 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.
Requirements
- 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.
- Experience integrating LLMs into production systems (e.g., via OpenAI API).
- Built or designed AI-driven automation / AIOps systems.
- Strong interest in autonomous systems and self-healing infrastructure.
Tech Stack
- AWS
- Distributed Systems
- Kubernetes
- Python
- Go
Benefits
- Employee wellness programs