Senior DevOps Engineer - AWS, Kubernetes & GitOps Lead

remoteo; Tenerife; A distancia; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work within Canary Islands

Relocation package

Yearly company offsite

Professional growth

Descripción de la vacante

INFINNI seeks a Senior DevOps Engineer to own and evolve our cloud infrastructure, delivery pipelines, and platform tooling. You'll design and run production systems on AWS and Kubernetes, build CI/CD workflows that teams love to use, and help shape how we bring AI-assisted engineering into our day-to-day work.

This is a hands-on role with real ownership: you'll make architectural decisions, set standards, and mentor others on the team.

Formación

• 5+ years as a Senior DevOps Engineer or SRE.
• Strong AWS experience with ECS, MSK, ECR and related services.
• Solid production Kubernetes experience.
• Proven ability to set up and administer GitLab CI/CD.
• Good understanding of GitOps principles and best practices.
• In-depth Docker knowledge.
• Strong SQL knowledge and performance tuning.
• Proficiency in Java, Python or Go.

Responsabilidades

• Design, build, and operate scalable, secure infrastructure on AWS.
• Run and maintain production Kubernetes clusters and deployments.
• Manage GitLab and CI/CD pipelines; drive GitOps practices.
• Automate infrastructure as code and ensure auditable environments.
• Build and maintain containerized workloads with Docker.
• Integrate identity management like Keycloak.
• Write tooling to reduce manual work and improve developer experience.
• Leverage LLM coding assistants in workflows.
• Participate in incident response and reliability improvements.
• Tune database performance and observability across services.

Conocimientos

AWS

Kubernetes

GitLab CI/CD

GitOps

Docker

SQL

Java

Python

Go

LLM tools

Herramientas

GitLab

Keycloak

OpenTelemetry

Pulumi

ClickHouse

Descripción del empleo

INFINNI seeks a Senior DevOps Engineer to own and evolve our cloud infrastructure, delivery pipelines, and platform tooling. You'll design and run production systems on AWS and Kubernetes, build CI/CD workflows that teams love to use, and help shape how we bring AI-assisted engineering into our day-to-day work.

This is a hands-on role with real ownership: you'll make architectural decisions, set standards, and mentor others on the team.