SRE & AI Automation Engineer

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    "description": "<p><span style=\"font-size: 12pt; font-weight: bold\">About EdgeUno</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt\">EdgeUno is a US-based technology infrastructure company headquartered in Miami, with a strong operational presence across Latin America, including Colombia, Brazil, Mexico, Argentina, Peru, and Ecuador. We enable digital businesses to scale with high performance and reliability by providing connectivity, IP Transit, private networks, data centers, bare metal, and cloud solutions to ISPs, hyperscalers, content providers, and global technology companies.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt\">Through our own infrastructure platform and strategic interconnection with major global hubs, we deliver low latency, security, and operational resilience across the Americas and beyond. </span><span style=\"font-size: 12pt\">Our Cloud Engineering team is actively expanding EdgeUno’s cloud product portfolio across our LATAM infrastructure footprint, with a strong focus on Kubernetes-based distributed cloud platforms, automation, observability, and AI-driven operational efficiency.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Role Overview</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt\">We are looking for an SRE &amp; AI Automation Engineer to join our Cloud Engineering team, helping build the reliability, observability, and automation foundations that support EdgeUno’s growing cloud infrastructure across Latin America.</span></p>\n<p><span style=\"font-size: 12pt\">This role combines two strategic areas: Site Reliability Engineering and AI-powered operational automation. The ideal candidate should be comfortable operating production infrastructure environments while also building intelligent automation workflows, internal AI agents, and operational tooling that improve efficiency, reduce toil, and accelerate infrastructure delivery.</span></p>\n<p><span style=\"font-size: 12pt\">You will work closely with Cloud Engineering leadership and cross-functional teams to help scale modern infrastructure platforms, observability systems, Kubernetes operations, and AI-assisted workflows across EdgeUno’s distributed environment.</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Core Responsibilities</span></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\"><em><span style=\"font-size: 12pt\">Site Reliability Engineering</span></em></span></p>\n<p><span style=\"font-size: 12pt\">• Define and implement SLOs, SLIs, and reliability practices across cloud services</span><br><span style=\"font-size: 12pt\">• Build and maintain observability environments using Prometheus, Grafana, Alertmanager, Loki, and related tooling</span><br><span style=\"font-size: 12pt\">• Reduce operational toil through automation and infrastructure engineering initiatives</span><br><span style=\"font-size: 12pt\">• Support incident management processes, post-mortems, runbooks, and operational workflows</span><br><span style=\"font-size: 12pt\">• Collaborate on Kubernetes operations, cluster lifecycle management, and infrastructure scalability</span><br><span style=\"font-size: 12pt\">• Implement GitOps workflows using tools such as ArgoCD, Flux, and Infrastructure-as-Code frameworks</span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\"><em>AI &amp; Automation Engineering</em></span></span></p>\n<p><span style=\"font-size: 12pt\">• Design and develop AI-powered operational tools and internal assistants</span><br><span style=\"font-size: 12pt\">• Build automation workflows integrating cloud APIs, ticketing systems, Slack, dashboards, and operational platforms</span><br><span style=\"font-size: 12pt\">• Integrate LLMs and AI services into internal workflows using APIs and RAG architectures</span><br><span style=\"font-size: 12pt\">• Develop AI-driven reporting, incident summarization, and operational intelligence solutions</span><br><span style=\"font-size: 12pt\">• Evaluate and prototype agentic AI frameworks and automation platforms</span></p>\n<p><br><br></p>\n<p><em><span style=\"font-size: 12pt; font-weight: bold\">Platform &amp; Infrastructure Automation</span></em></p>\n<p><span style=\"font-size: 12pt\">• Develop Infrastructure-as-Code environments using Terraform, Ansible, and related technologies</span><br><span style=\"font-size: 12pt\">• Build CI/CD pipelines and infrastructure validation workflows</span><br><span style=\"font-size: 12pt\">• Automate provisioning, upgrades, monitoring, and infrastructure operations across distributed environments</span><br><span style=\"font-size: 12pt\">• Improve deployment reliability and operational visibility across cloud services</span></p>\n<p><span style=\"font-size: 12pt\"><br><em><span style=\"font-weight: bold\">Cross-Team Collaboration</span></em></span></p>\n<p><span style=\"font-size: 12pt\">• Help establish SRE best practices across engineering teams</span><br><span style=\"font-size: 12pt\">• Collaborate with infrastructure, support, operations, and leadership teams to identify automation opportunities</span><br><span style=\"font-size: 12pt\">• Maintain clear technical documentation for systems, workflows, and operational processes</span><br><span style=\"font-size: 12pt\">• Support tooling evaluation and technical decision-making related to cloud infrastructure and AI operations</span></p>\n<p><span style=\"font-size: 12pt\"><br><span style=\"font-weight: bold\">Requirements</span></span></p>\n<p><span style=\"font-size: 12pt\"><br></span><br></p>\n<p><span style=\"font-size: 12pt\">• English B2+</span></p>\n<p><span style=\"font-size: 12pt\">• 5+ years of experience in SRE, DevOps, Platform Engineering, or related infrastructure roles</span><br><span style=\"font-size: 12pt\">• Strong experience with observability and monitoring stacks such as Prometheus, Grafana, Alertmanager, Loki, or equivalent</span><br><span style=\"font-size: 12pt\">• Hands-on experience building or integrating AI/LLM-powered applications, tools, or workflows</span><br><span style=\"font-size: 12pt\">• Strong proficiency in Python and/or TypeScript</span><br><span style=\"font-size: 12pt\">• Experience operating Kubernetes environments in production</span><br><span style=\"font-size: 12pt\">• Experience with Infrastructure-as-Code and automation tooling such as Terraform, Ansible, ArgoCD, or similar</span><br><span style=\"font-size: 12pt\">• Strong understanding of SLOs, SLIs, reliability engineering, and operational best practices</span><br></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Strong Differentiators</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">• Experience with workflow automation platforms such as n8n</span><br><span style=\"font-size: 12pt\">• Experience building RAG pipelines and working with vector databases such as Qdrant, Pinecone, or Weaviate</span><br><span style=\"font-size: 12pt\">• Familiarity with AI agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar</span><br><span style=\"font-size: 12pt\">• Experience with K3s, K0s, Kamaji, Cluster API, or multi-cluster Kubernetes environments</span><br><span style=\"font-size: 12pt\">• Experience with Proxmox, Ceph, MinIO, Cilium, eBPF, or distributed infrastructure environments</span><br><span style=\"font-size: 12pt\">• Background working for cloud providers, infrastructure companies, or telecommunications environments</span><br><span style=\"font-size: 12pt\">• Experience with networking fundamentals such as BGP and connectivity environments</span><br><span style=\"font-size: 12pt\">• GitHub or portfolio demonstrating infrastructure automation, AI tooling, or SRE-related projects</span></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What We Offer</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">• Opportunity to work on strategic cloud and AI infrastructure initiatives across Latin America</span><br><span style=\"font-size: 12pt\">• Direct exposure to modern cloud-native, Kubernetes, and AI-driven operational environments</span><br><span style=\"font-size: 12pt\">• Close collaboration with Cloud Engineering leadership and product strategy initiatives</span><br><span style=\"font-size: 12pt\">• Multinational and multicultural team environment across LATAM</span><br></p>\n<p><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Portfolio Requirement</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Applicants must include a portfolio, GitHub, GitLab, or other practical examples demonstrating relevant technical work.</span></p>\n<p><span style=\"font-size: 12pt\">We are looking for evidence of real systems, automation workflows, AI tooling, infrastructure projects, operational artifacts, or engineering initiatives built and maintained in practice.</span></p>",
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