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IBM

Site Reliability Engineer

IBM

  •  Expira 04/07/2025
  •  Costa Rica
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Detalle de la Oferta

Área de la Empresa Tecnologías de Información
Cargo Solicitado Otros empleos
Puestos Vacantes 1
Tipo de Contratación Tiempo completo
Nivel de Experiencia Sin experiencia
Salario máximo (USD)
Salario minimo (USD)
Vehículo Indiferente
País Costa Rica
Departamento Otro

Descripción de la Oferta

Introducción

A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions.

Seeking new possibilities and always staying curious? We are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

Su función y responsabilidades

As a Site Reliability Engineer, you will specialize in ensuring the reliability and resiliency of our systems. Bringing a unique blend of knowledge and skills in both software and platform systems, you will play a key role in analyzing business needs, identifying and solving problems, designing and building automation tooling, designing and implementing monitoring solutions, deploying and managing production changes, and maintaining well-engineered information systems and ecosystems.

Responsibilities:

- Reliability and Resilience:
o Specialize in ensuring the reliability and resiliency of services based on a micro-service architecture, with the goal of delivering a high-availability environment.
- Problem Analysis and Resolution:
o Analyze business needs and proactively identify and solve problems to enhance system performance and stability. Troubleshoot failures and execute recovery quickly to minimize impact to customers.
- End-to-End Engineering:
o Play a pivotal role in advising, designing, building, testing, deploying, and maintaining well-engineered cloud environments.

Educación requerida

Licenciatura

Experiencia profesional y técnica requerida

Technical Skills/Exposure:

SRE/DevOps in a SaaS/Cloud environment is strongly desired (Linux administrator experience will be considered).

Experience with at least one major public cloud provider or large-scale private/hybrid cloud using container orchestration.

Experience with one or more monitoring/observability tools (Prometheus & Grafana are preferred).

Programming skills in at least one language, preferably Python or Node.js, but others would be considered, such as Go, BASH, Ruby, etc.

Use of source control management (git, subversion, etc.)

Professional Experience:

Ability to manage multiple tasks, ensuring that commitments/timelines are met.

Ability to partner with internal stakeholders when designing and building automation to improve operations.

Ability to perform under pressure.

Be growth-minded, goal-oriented, and forward-thinking to provide solutions for complex technical problems.

Fluent in spoken and written English.

This role requires some after-hours on-call work.

Experiencia técnica y profesional preferida

Kubernetes/OpenShift experience in a production environment.

Experience with a modern configuration management framework (Ansible, Chef, Puppet).

Experience with deployment (CI/CD) pipeline tools, preferably ArgoCD.

Experience with Infrastructure as Code tools, preferably Terraform.

Be growth minded, goal oriented, and forward thinking, to provide solutions for complex technical problems.

Fluent in spoken and written English.

This role requires some after-hours on-call work.

Acerca de la Unidad de Negocios

IBM Software es la unidad de negocio que infunsiona inteligencia en las operaciones comerciales, desde el aprendizaje automático hasta la IA generativa, para ayudar a que las organizaciones sean más receptivas, productivas y resilientes. IBM Software ayuda a los clientes a poner la IA en acción ahora para crear valor real con confianza, velocidad y confianza en el trabajo digital, la automatización de TI, la modernización de aplicaciones, la seguridad y la sostenibilidad. Para lograrlo, es esencial aprovechar al máximo todos los datos disponibles, ya que la calidad y eficacia de la inteligencia artificial dependen directamente de los datos que la sustentan. En la mayoría de las organizaciones, los datos se distribuyen en múltiples nubes, e

Educación Superior

Informática | Sistemas
Requerido
Universidad Completa | Graduado
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