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 |
Introducción
A career in IBM Software means you'll be part of a team that transforms our customers' 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.
IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
Su función y responsabilidades
As a Hybrid Cloud Support Engineer, you will utilize your passion for helping others to ensure that our Users and Enterprises are successful in their use of DataStax products and solutions. This is a continuous learning and teaching role where you will develop and share your knowledge of troubleshooting, configuration, and exciting new technologies, inclusive of and complementary to Apache Cassandra, DataStax Enterprise, and Astra.
What will you do:
- Research, reproduce, troubleshoot, and solve highly challenging technical issues
- Provide thoughtful direction and support for technical inquiries
- Ensure that customer issues are resolved as expediently as possible
- Diagnose and reproduce customer-reported issues and log JIRA tickets
- Participate in on-call rotation for after-hours, holiday, and weekend support coverage
- Create code samples, tutorials, and articles for the DataStax Knowledge Base
- Collaborate and contribute to the Support Team infrastructure tools and processes
- Fulfill the on-call rotation requirements of this role
Educación requerida
Licenciatura
Educación preferida
Maestría
Experiencia profesional y técnica requerida
- 4-6 years of experience supporting large enterprise customers in a customer-facing support role
- Experience with supporting a Software as a Service Cloud product
- Experience with Grafana, Prometheus, Splunk, Datadog, and other monitoring solutions
- Experience supporting Kubernetes-based distributed applications, or an understanding of Kubernetes fundamentals
- Experience with pub-sub, messaging, and streaming solutions like Pulsar, Kafka
- Experience using APIs and understanding the app development lifecycle with a language or framework based on Java, Python, or Go would be preferred
- Experience/certifications with AWS/GCP/Azure deployments and associated cloud-based monitoring tools would be preferred
- Experience with Linux operating systems, including command line, performance, and network troubleshooting
- Excellent verbal and written communication skills
- Lifetime learner, self-motivated with the ability to multitask during high-pressure situations
- Proficiency in English
Experiencia técnica y profesional preferida
- Supporting Apache Cassandra environments or other relational and/or alternative database technologies is a plus
- Understanding of Java, Python, Go and/or another language (Troubleshooting skills)
- Experience with escalation management and customer success or premium support
- Experience working in a fast-moving, high-pressure environment
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 organizacione
Informática | Sistemas Requerido |
Universidad Completa | Graduado |
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