Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for an Infrastructure Engineer/SRE to design, build, and maintain cloud environments, including infrastructure as code, Kubernetes deployments, and the observability stack.

MUST HAVES

- At least 4+ years of hands-on experience designing and operating infrastructure on a major cloud platform (AWS, GCP, or Azure).

- Proven expertise building and managing infrastructure using Terraform.

- Demonstrated experience using GitOps practices (e.g., ArgoCD or Flux) for automated deployments.

- Experience deploying, configuring, and managing production Kubernetes clusters.

- Proficiency in Python programming for infrastructure automation and tooling.

- Direct experience configuring and operating any of the following:

- Grafana (dashboards and metrics visualization)

- Loki (log aggregation)

- Thanos (Prometheus long-term storage and high availability)

- Tempo (distributed tracing)

- Demonstrated background in designing and testing High Availability (HA) architectures and Disaster Recovery (DR) failover plans.

- Upper-intermediate English level.

NICE TO HAVES

- Familiarity with additional languages such as Go (Golang) or Rust for cloud tools.

- Experience with Service Mesh technologies (Istio, Linkerd).

- Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).

- Cloud certifications (e.g., AWS Certified Solutions Architect - Professional,



GCP Professional Cloud Architect).

WHAT YOU WILL DO

- Cloud & Infrastructure as Code: Provision, manage, and scale cloud infrastructure using Terraform.

- GitOps & Kubernetes: Deploy and maintain production Kubernetes clusters using declarative GitOps workflows.

- Automation Engineering: Write production Python code to create custom tools, automation scripts, and platform integrations.

- Observability: Maintain system telemetry using Grafana, Tempo, Loki, and Thanos for logging, metrics, and tracing.

- High Availability & Disaster Recovery: Implement and test HA and DR strategies to satisfy strict uptime and recovery requirements.

PERKS AND BENEFITS

- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.

- Exciting projects: Modern solutions with Fortune 500 and top product companies.

- Flextime: Versátil schedule with remote and office options.

Requirements
Cloud Platform Experience: At least 4+ years of hands-on experience designing and operating infrastructure on a major cloud platform (AWS, GCP, or Azure). Terraform: Proven expertise building and managing infrastructure using Terraform. GitOps Workflows: Demonstrated experience using GitOps practices (e.g., ArgoCD or Flux) for automated deployments. Kubernetes: Experience deploying, configuring, and managing production Kubernetes clusters. Python Development: Proficiency in Python programming for infrastructure automation and tooling. Observability Suite: Direct experience configuring and operating any of the following: Grafana (dashboards and metrics visualization) Loki (log aggregation) Thanos (Prometheus long-term storage and high availability) Tempo (distributed tracing) HA & Disaster Recovery: Demonstrated background in designing and testing High Availability (HA) architectures and Disaster Recovery (DR) failover plans

📌 Infrastructure Engineer/SRE (Cartagena)
🏢 Agileengine
📍 Cartagena