Key skills
GrafanaJavaKubernetesPythonGoBashAILLMAgenticCI/CD
About this role
Role Overview
- Ensure the availability, reliability, and performance of high-traffic Java-based applications in a distributed environment
- Troubleshoot and resolve complex issues across production and non-production environments
- Participate in pre
- and post-deployment performance testing and monitoring to continuously improve application performance
- Design, build, and operate agentic AI workflows that automate operational tasks such as alert triage and root cause analysis
Requirements
- Degree in Computer Science or related field, or equivalent professional experience
- 5+ years in SRE, DevOps, or similar infrastructure roles with experience managing large-scale, high-availability production systems
- 3+ years hands-on experience managing production Kubernetes clusters, including deep understanding of architecture, networking, storage, and security
- Advanced expertise with the Grafana observability stack: dashboards, alerting, visualization, and Grafana Alloy for telemetry collection
- Strong scripting abilities in Python, Bash, or Go, with experience building CI/CD pipelines and deployment automation
- 1+ years of practical experience building or operating AI/LLM-powered tools, agents, or workflows
Tech Stack
- Grafana
- Java
- Kubernetes
- Python
- Go
Benefits
- Fully remote position
- Opportunity to work with cutting-edge AI tools
- Collaborative team environment