Senior DevOps & Data Engineer — AWS, Kubernetes, CI/CD

AgileEngine, LLC.; Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine in Madrid is seeking a Senior Data and Analytics Engineer to design and maintain scalable data pipelines and analytics tooling that power our client solutions. You will work on production and staging environments, drive automation, and collaborate with cross-functional teams to ensure high availability and robust observability across cloud services.

This role requires weekend readiness for migrations and strong communication in English to support a fast-paced, globally distributed

Formación

• 2+ years in Site Reliability Engineering, DevOps, or Production Operations.
• Demonstrable AWS EKS experience supporting production environments.
• Experience supporting production SaaS applications.
• Strong understanding of CI/CD systems (GitHub Actions, Jenkins, CircleCI, or similar).
• GitOps experience and strong Git fundamentals.
• Experience using GitHub, Jira, and Confluence in collaborative engineering environments.
• Kubernetes experience (EKS, kOps, or similar).
• Observability stack experience (Grafana, Prometheus, Loki, PagerDuty, or similar).
• Scripting experience (Bash, Python, or Go).
• Infrastructure as Code experience (Terraform, Helm, or similar).
• Working knowledge of relational databases (e.g., PostgreSQL, MySQL).
• Comfortable working within structured operational processes and SLAs.
• Strong written and verbal English communication skills; able to clearly explain technical concepts.
• Self-driven with a growth mindset.
• Weekend availability for application migrations between environments when needed.

Responsabilidades

• Migrate applications between environments; weekend availability is required.
• Monitor and support production and staging environments in real time.
• Respond to incidents, perform root cause analysis, and contribute to post-incident reviews and remediation efforts.
• Participate in an on-call rotation with defined SLAs.
• Handle ad-hoc and unplanned operational requests from Product, Support, and internal teams.
• Maintain and enhance monitoring, alerting, dashboards, logs, and metrics; improve signal-to-noise ratio and standardize observability practices.
• Support CI/CD pipelines, production releases, and GitOps workflows.
• Contribute to automation efforts to reduce operational toil.
• Maintain and improve Kubernetes-based infrastructure and containerized workloads.
• Support Infrastructure as Code practices and ongoing environment improvements.

Conocimientos

DevOps

SRE

English communication

Weekend availability

GitOps

Kubernetes

Herramientas

AWS EKS

CI/CD (GitHub Actions, Jenkins, CircleCI)

GitOps

Kubernetes

Grafana/Prometheus/Loki

Terraform/Helm

PostgreSQL/MySQL

Descripción del empleo

AgileEngine in Madrid is seeking a Senior Data and Analytics Engineer to design and maintain scalable data pipelines and analytics tooling that power our client solutions. You will work on production and staging environments, drive automation, and collaborate with cross-functional teams to ensure high availability and robust observability across cloud services.

This role requires weekend readiness for migrations and strong communication in English to support a fast-paced, globally distributed