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.
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.
As a Technical support Engineer hybrid cloud 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 You'll Do:
● Research reproduce troubleshoot and solve highly challenging technical issues for our enterprise customers on various product offerings including NoSQL DBs SaaS and GenAI.
● Provide thoughtful direction and support for technical inquiries ensuring customer issues are resolved as expediently as possible.
● Diagnose and reproduce customer-reported issues and accurately log them in JIRA.
● Participate in an on-call rotation for after-hours holiday and weekend support coverage.
● Document known solutions to the internal and external knowledge base
* Collaborate and contribute to the development and improvement of Support Team infrastructure tools and processes.
● Over 4+ years of proven experience supporting large enterprise customers in customer-facing roles such as support engineer application developer database administrator or Site Reliability Engineer (SRE).
● Strong understanding of Java Python and/or Go including the ability to read error codes debug and troubleshoot issues by diving into application code.
● Expert-level Linux skills encompassing command-line navigation diagnostic tools and the ability to identify and resolve hardware or Linux environment bottlenecks along with best practices for optimization.
● Deep networking skills including the ability to effectively troubleshoot network issues and proficiency with relevant diagnostic tools.
● Exceptional verbal and written communication skills.
● Collaborative and self-motivated with the ability to multi-task effectively and thrive during high-pressure situations.
● Experience with Support Ticketing Systems.
● Experience supporting Kubernetes-based distributed applications or an understanding of Kubernetes fundamentals
● Experience with Java Virtual Machine (JVM) tuning knowing its lifecycle and troubleshooting.
● Proficiency with cloud monitoring tools AWS/GCP or Azure including setting up networking and Access Control Lists (ACLs).
● Experience in designing and optimizing highly available systems including knowledge of how resource distribution across logical nodes and infrastructure components—both on-premise and in cloud environments—impacts service resilience and uptime.
● Basic understanding of Kubernetes and its core components as they relate to managing containerized applications including familiarity with reviewing logs for troubleshooting monitoring service health and understanding basic networking concepts within Kubernetes clusters. Exposure to supporting distributed database systems in such environments is a plus.
● Experience with Apache Cassandra™ or DataStax Enterprise.
● Experience with and knowledge of monitoring technologies such as Prometheus and Grafana.
● Experience supporting Apache Pulsar Apache Kafka or similar messaging/streaming technologies.