Customer Success Technical Specialist (Mainframe-z/OS)
IBM Computing - Raleigh, North Carolina, United States, 27601
Work at IBM Computing
Overview
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Overview
Actively guide end users on how to get value from IBM products.
Install and provision environment so that IBM product functionality is ready to implement client use case(s).
Finalize and validate architecture, use case(s) and sponsors. Ensure solution design can be implemented and will be fully functional for end users.
With technical expertise and a consultative style, you'll quickly build credibility as a trusted advisor at all levels with customers and IBM colleagues. To drive expansion and renewal growth, you'll guide leading enterprise companies through approaches that realize the full value of their IBM investments. To be successful in this role, you will need: Confidence to contact and engage potential new customers and deliver an elevated experience.
A desire to continually learn new technologies and how to apply their value in a client environment.
Motivation to achieve technical objectives and high client satisfaction.
Embrace curiosity and a growth mindset.
Required technical and professional expertise Education: Computer Science, Data Science or Engineering, Information Systems, or equivalent technical degree/experience.
Strong communication / intellectual curiosity / continuous learner
Ability to influence / strong organizational skills / timely execution for impact
Proven track record to win and compete / change agent
Experience with three or more of the following: Operating system administration (Linux, Windows, z/OS)
TCP/IP network and LDAP administration skills
APM solutions on IBM Z platform, IBM CICS, Db2 or IMS admin skills
Enterprise COBOL, PL/I programming skills, Java development skills
Software testing methodologies, automated testing tools
Data modeling, and experience with integration tools
Security tools and protocols, knowledge of relevant compliance regulations
Understanding of risk management practices and data access patterns
Log analysis, proficiency in anomaly detection techniques
SQL, relational database concepts, data manipulation, querying techniques
Database administration tasks like backup and recovery, knowledge of Db2 utilities
Data analysis skills, a good understanding of machine learning algorithms
Ability to interpret complex data visualizations
Understanding of monitoring and logging tools, proficiency in data analysis
Experience with AI and machine learning concepts, automation scripting abilities
Familiarity with DevOps practices
Preferred technical and professional experience Experience with two or more of the following: OpenTelemetry (OTeL)
Ability to work with scripting languages like REXX, JCL, YAML or Ansible
Mainframe monitoring tools like RMF and SMF
Knowledge of TSO, RACF security controls
Working with Large Language Models and RAG models, Conversational AI and design principles
Interoperating COBOL and Java within a z/OS subsystem is a bonus
Data integration, messaging protocols like Kafka, REST API design, leveraging z/OS assets like MQ Queue, z/OS Connect EE, and AP Connect can be beneficial
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr