Support and maintain business-critical production environments, ensuring high availability and system reliability.
Monitor infrastructure and applications, proactively identifying and resolving issues before they impact users.
Participate in incident response activities, troubleshooting production outages and coordinating recovery efforts.
Perform RCA and contribute to postmortems, corrective actions, and continuous improvement initiatives.
Manage and optimize Kubernetes clusters and cloud infrastructure.
Develop and maintain monitoring dashboards, alerts, and observability solutions.
Automate operational processes and infrastructure deployments using IaC and scripting.
Collaborate with engineering and product teams to improve scalability, performance, and operational excellence.
Support and enhance CI/CD pipelines to ensure reliable and efficient software delivery.
Requirements
4+ years of experience in Site Reliability Engineering, DevOps, Cloud Operations, or Infrastructure Engineering.
Strong hands-on experience with Linux administration, troubleshooting, and production support.
Experience managing and supporting Kubernetes and containerized workloads (Docker/OpenShift is a plus).
Solid knowledge of AWS, Azure, or GCP cloud environments.
Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, Splunk, ELK, or CloudWatch.




Experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines.
Ability to troubleshoot complex production issues, perform Root Cause Analysis (RCA), and drive preventive improvements.
Working knowledge of automation and scripting using Bash, Python, or Go.
Intermediate to advanced English (B2+).
Core Competencies
Demonstrates expertise in Site Reliability Engineering and DevOps practices, with a strong focus on managing Kubernetes clusters, cloud infrastructure, and automation through Infrastructure as Code.
Proficient in monitoring and observability tools to ensure high availability and system reliability.
Highest-signal resume keywords
Site Reliability Engineering
Kubernetes Management
Cloud Infrastructure (AWS, Azure, GCP)
Infrastructure as Code (Terraform)
Monitoring and Observability Tools (Prometheus, Grafana, Datadog)
ATS Optimization Keywords
Hard Skills
Linux Administration
Troubleshooting
Root Cause Analysis (RCA)
Automation and Scripting (Bash, Python, Go)
CI/CD Pipelines
Industry Keywords
DevOps
Cloud Operations
Infrastructure Engineering
Production Support
Continuous Improvement
Tools & Technologies
Kubernetes
Docker
OpenShift
Prometheus
Grafana
Datadog
Splunk
ELK
CloudWatch
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📌 Sre Software Engineer (Bogotá)
🏢 Jobtailor
📍 Bogotá