Job Description
AgileEngine is an Inc. ***
* 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 : Adaptable schedule with remote and office options. Meet Our Recruitment Process Application ? Coding Challenge ? Video Interview ? Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer. 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 (Valladolid)
🏢 AgileEngine
📍 Valladolid