Engineering Manager

Job Description

Introduction 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. We are looking for creative highly motivated individuals who want to understand how systems and applications work together to provide end to end business solutions. 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. Your Role And Responsibilities As a Software Development Manager for a QA (Quality Assurance) /Test Development team working on IBM’s enterprise-ready Data and AI platform - which includes the IBM Software Hub platform, IBM Cloud Pak for Data and IBM watsonx - you will be leading a team whose mandate is to find better ways to identify potential weak spots, inefficiencies, and issues within software systems. In this position you will work closely with development teams, test engineers and customer facing teams in the implementation and delivery of software products to meet full end-to-end user scenarios. Preferred Education Master's Degree Required Technical And Professional Expertise 8+ years of experience in leading teams as manager with hands on experience in people management, coaching and mentoring. Experience building and managing development and Quality Assurance teams Understanding of QA principles, planning, execution and project management as well as Agile tools and methodologies Excellent communication, problem solving and conflict resolution skills with a strong focus on collaboration across global teams. Experience working with various stakeholders such as product management, client-facing teams, support, and operations. Software development background with prior familiarity with any modern programming language such as Java/Java Script/JMeter and scripting languages such as Python/Perl/Groovy /Bash Understanding of test automation development and frameworks. Preferred Technical And Professional Experience Understanding of containerized solutions including Docker/Kubernetes/OpenShift is a plus Understanding of data sources ( e.g. Snowflake, Teradata, DB2), data ingestion, transformation, and governance. Familiar with cloud environments such as AWS, Azure, or IBM Cloud. Familiar with AI technologies and tools with some hands-on experience, including AI Ops and Governance. Experience in performance testing is a plus.