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SRE, AI Automation Engineer
EdgeUnoJoin EdgeUno as an SRE & AI Automation Engineer, focusing on cloud infrastructure in Latin America. Work on Kubernetes, observability, and AI-powered automation workflows across a multinational team in a hybrid setup.
Tech Stack
Tools & technologiesAnsibleCloudFluxGrafanaKubernetesPrometheusPythonTerraformTypeScript
About the role
Key responsibilities & impact- Define and implement SLOs, SLIs, and reliability practices across cloud services
- Build and maintain observability environments using Prometheus, Grafana, Alertmanager, Loki, and related tooling
- Reduce operational toil through automation and infrastructure engineering initiatives
- Support incident management processes, post-mortems, runbooks, and operational workflows
- Collaborate on Kubernetes operations, cluster lifecycle management, and infrastructure scalability
- Implement GitOps workflows using tools such as ArgoCD, Flux, and Infrastructure-as-Code frameworks
- Design and develop AI-powered operational tools and internal assistants
- Build automation workflows integrating cloud APIs, ticketing systems, Slack, dashboards, and operational platforms
- Integrate LLMs and AI services into internal workflows using APIs and RAG architectures
- Develop AI-driven reporting, incident summarization, and operational intelligence solutions
- Evaluate and prototype agentic AI frameworks and automation platforms
- Develop Infrastructure-as-Code environments using Terraform, Ansible, and related technologies
- Build CI/CD pipelines and infrastructure validation workflows
- Automate provisioning, upgrades, monitoring, and infrastructure operations across distributed environments
- Improve deployment reliability and operational visibility across cloud services
- Help establish SRE best practices across engineering teams
- Collaborate with infrastructure, support, operations, and leadership teams to identify automation opportunities
- Maintain clear technical documentation for systems, workflows, and operational processes
- Support tooling evaluation and technical decision-making related to cloud infrastructure and AI operations
Requirements
What you’ll need- English B2+
- 5+ years of experience in SRE, DevOps, Platform Engineering, or related infrastructure roles
- Strong experience with observability and monitoring stacks such as Prometheus, Grafana, Alertmanager, Loki, or equivalent
- Hands-on experience building or integrating AI/LLM-powered applications, tools, or workflows
- Strong proficiency in Python and/or TypeScript
- Experience operating Kubernetes environments in production
- Experience with Infrastructure-as-Code and automation tooling such as Terraform, Ansible, ArgoCD, or similar
- Strong understanding of SLOs, SLIs, reliability engineering, and operational best practices
Benefits
Comp & perks- Opportunity to work on strategic cloud and AI infrastructure initiatives across Latin America
- Direct exposure to modern cloud-native, Kubernetes, and AI-driven operational environments
- Close collaboration with Cloud Engineering leadership and product strategy initiatives
- Multinational and multicultural team environment across LATAM
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SLOsSLIsreliability engineeringPythonTypeScriptKubernetesInfrastructure-as-CodeTerraformAnsibleCI/CD
Soft Skills
collaborationincident managementtechnical documentationautomationproblem-solving