DevOps Engineer
Linqia
| Company | Linqia |
| Category | Engineering |
| Location | Bogotá |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 9 Jun 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Linqia is a leader in influencer marketing technology with AI-driven platforms serving major brands. This DevOps Engineer role focuses on building and operating cloud-native infrastructure on AWS, combining Kubernetes expertise with automation, monitoring, and cost optimization to support a growing SaaS platform.
What You'll Do
• Design and maintain AWS account structure, VPC networking, IAM policies, and cost-management controls using Terraform
• Operate production-grade Kubernetes clusters on EKS, including upgrades, service mesh policies, and multi-cluster architectures with Argo CD
• Build reusable infrastructure-as-code modules with Terraform and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deliver observability and production support with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry; troubleshoot production incidents
• Implement FinOps practices: track and forecast AWS spend, optimize resource costs, and build cost dashboards for stakeholders
• Administer Linux VMs via Puppet, Ansible, or Chef; deploy and maintain AWS databases; champion reliability through incident reviews and chaos testing
What You Need
• Bachelor's degree in Computer Science or equivalent practical experience
• 3+ years of hands-on cloud infrastructure or platform engineering experience focused on AWS
• Deep expertise with Kubernetes, preferably EKS: upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting; strong SQL skills and Linux administration competency
• Demonstrated experience with core AWS services: EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, CloudWatch
• Hands-on experience with Docker and container runtimes; proven use of Terraform for infrastructure-as-code and Ansible or Puppet for configuration management
• Experience with Datadog for metrics, logs, and APM; familiarity with Prometheus and Grafana
• Strong understanding of FinOps principles and AWS cost optimization; competence with Git workflows and pull-request reviews
• Solid knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
Nice to Have
• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling: GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event-driven architectures with Kafka Streams or KSQL
• SRE practices including error budgets and service-level dashboards; exposure to MLOps or machine-learning workflows in production