COMPLETE Sr. Software Developer

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
As an Automation Delivery Specialist, you will be responsible for:

• Developing, building, and delivering technical solutions to customers based on IBM Automation and Integration technologies with a focus on Workflow and rules management, API Management , Robotic Process Automation
• Stay up-to-date with the latest advancements in Automation and Integration technologies
• Being seen as a subject matter expert in IBM Automation to customers and colleagues
• Identify and assist in the leveraging of new, potential areas of technology and/or industry which should be of interest to Automation which will generate revenue.
• Be aware and willing to coach both internal and external stakeholders around key developments in IBM Automation and Integration technologies.

Required Technical and Professional Expertise

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in working in a team environment to deliver Automation or Integration assignments/projects.
• Programming skills in Java, Spring, Nodejs, SQL
• Good knowledge about Linux, Unix systems
• Good knowledge of Cloud architecture such as Containers, Kubernetes, Openshift and Devops Methodology
• Deep Expertise on IBM Business Automation solutions (Business Automation Workflow, ODM, FileNet, Capture)
• Deep Expertise on IBM Integration solutions (API Connect , Appconnect)
• Good communication skills to articulate challenges and solutions in a client environment

Preferred Technical and Professional Expertise

• Working knowledge of building machine learning and deep learning models
• Experience with coding in other languagues is a plus, (e.g. Go)
• Experience with containerized environments (Docker/K8S/Openshift above all) is a plus
• Experience with cloud environments is a plus
• Exposure to build and test automation
• Familiarity with performance profiling and benchmarking.