SRE Software Engineer

Jobtailor; Bogotá; Presencial; COP 100.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Jobtailor in Bogotá, Colombia is seeking a Site Reliability Engineer to join our operations team. You will support and maintain production environments, manage Kubernetes clusters, and optimize cloud infrastructure across AWS/Azure/GCP.

The role emphasizes reliability, incident response, RCA, and continuous improvement in collaboration with engineering and product teams. You will implement IaC, automate deployments, develop observability dashboards in Prometheus/Grafana, and contribute to

Formación

• 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+).

Responsabilidades

• 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.

Conocimientos

Site Reliability Engineering

Kubernetes Management

Cloud Infrastructure (AWS, Azure, GCP)

Infrastructure as Code (Terraform)

Monitoring & Observability (Prometheus

Grafana & Datadog

CI/CD Pipelines

Automation and Scripting (Bash, Python

Herramientas

Kubernetes

Docker

OpenShift

Prometheus

Grafana

Datadog

Splunk

ELK

CloudWatch

Descripción del empleo

• 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