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
The IBM Sustainability Software business unit is seeking talented and motivated Software Developers to work on the Maximo Application Suite product. In this role, you will collaborate closely with a worldwide team of experienced and energetic professionals to create new and expected capabilities in our industry-leading Enterprise Asset Management portfolio. You will work across the entire software delivery cycle including requirements gathering, use case definition, design, implementation, test, test automation documentation, and delivery, including cloud infrastructure such as DevOps, SRE, Security, and customer support work as part of your scope. You'll frequently work with Product Owners, Architects, Release Managers, Designers, Sales, Support Business partners, and customers throughout this process.
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Required Technical and Professional Expertise
- 5-8 years working as Software developer.
- Able to create code from scratch as well as work with legacy code, fix and implement changes
- Experienced with back-end development with some front-end knowledge
- JAVA, Python, JavaScript, XML, JSON, shell script
- SQL / NoSQL Database - DB2, Oracle or SQLServer. MongoDB
- OpenShift, Kubernetes, Docker
- Unit Testing (junit, pytest), Functional Testing, Integration Testing, Test automation
- VS Code, Eclipse
- Agile Methodologies;
- Good verbal and written English communication skills
Preferred Technical and Professional Expertise
- Continuous delivery and DevOps Methodologies;
- Container development;
- Cloud technologies;
- GO Lang;
- React, Redeux, Carbon, CSS, D3, NodeJS;
- Jira, Github, Jenkins, Travis;
- Machine Learning, AI, LLM.