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IBM
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Engineering Manager

Engineering Manager

IBM

8 - 13 years

10 - 15 Lacs

Kochi

Posted:1 week ago| Platform:

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Skills Required

python docker conflict resolution java aws kubernetes snowflake project management software development performance testing ibm cloud openshift microsoft azure dbms engineering management javascript jmeter groovy product management bash perl agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

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. Required education Bachelor's Degree 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.

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Engineering Manager