Key skills
AWSDistributed SystemsGrafanaKubernetesPrometheusPythonTerraformGoAILLMOpenAILangChainAutoGenEKSOpenTelemetryCI/CD
About this role
Role Overview
- Own uptime, reliability, and performance of services running on AWS + Kubernetes (EKS).
- Design and implement self-healing infrastructure using automation and AI agents.
- Build LLM-powered operational tooling using APIs such as the OpenAI API for intelligent alert triage, incident summarization, root cause analysis, and runbook automation.
- Manage and scale Kubernetes workloads including deployments, autoscaling, and resource optimization.
- Build and evolve observability systems involving metrics (Prometheus), dashboards (Grafana), logs (ELK / OpenSearch), and tracing (OpenTelemetry).
- Define and enforce SLOs, SLAs, and error budgets tied to business metrics.
- Automate infrastructure using Terraform and CI/CD pipelines.
- Lead incident response, postmortems, and continuous reliability improvements.
- Introduce chaos engineering practices to proactively test system resilience.
Requirements
- 5+ years in SRE / DevOps / Platform Engineering.
- Strong hands-on experience with AWS infrastructure at scale
- Kubernetes (production-grade clusters)
- Proven ability to debug complex distributed systems under pressure.
- Strong coding skills (Python or Go)
- Experience implementing monitoring, alerting, and incident management systems.
- Bonus (AI / LLM Focus): Experience working with LLM APIs such as the OpenAI API; Familiarity with agent frameworks like LangChain and AutoGen; Built or experimented with AI agents for DevOps / SRE workflows; Exposure to AIOps or intelligent automation systems.
Tech Stack
- AWS
- Distributed Systems
- Grafana
- Kubernetes
- Prometheus
- Python
- Terraform
- Go
Benefits
- Equal opportunity employer
- Welcoming and positive work environment
- Growth and learning opportunities