Software Automation Developer

4 days ago

Kochi, India IBM Full time

Introduction
As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world's technology leader. Come to IBM and make a global impact

Your Role and Responsibilities
Who We Are:
Machine Learning and AI are increasingly powering applications across organizations like financial institutions, healthcare, government etc. In order for AI to be successful and help improve our lives, it must be trustworthy by providing transparency and be explainable. Organizations are recognizing the importance of a holistic approach to governed data and AI technology in order to manger risk and regulations and to safeguard their brand reputations.

At IBM we are helping people and organizations adopt AI responsibly. watsonx.governance is an enterprise-grade environment for AI applications that provides visibility into how AI is built, is used, and delivers return on investment. We enable organizations to validate and monitor AI models deployed anywhere, to help comply with regulations and mitigate business risk. Some of the core capabilities we provide include the ability to detect and mitigate bias, monitor the accuracy and quality of models and explain model predictions.

Who You Are:
Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

What You'll Do:

  • You will work in an innovation driven, collaborative development environment that implements trusted AI solutions.
  • You will work with customers to help them succeed in their AI journey by adopting Watson Studio Trusted AI solutions.
  • You will work in a agile development environment
  • You will understand customer use cases and technical design and validate software keeping the end user in mind
  • You will automate functional, integration and performance test cases using the latest technologies and tools.
    Required Technical and Professional Expertise

    • 3 years of experience in development or validation of software
    • 2/3 years of experience in automating API tests
    • Experience with Java and JUnit
    • Experience with Linux operating systems and Databases
    • Exposure to Docker and container orchestration technologies such as Open Shift Container Platform, Kubernetes
    • Knowledge of JDBC requests, HTTP & HTTPS protocols
    • Experience working in Agile Model
    • Understand design, collaborate with architects, leads, developers, support teams across locations
    • Experience with Test case writing, Test planning, Tracking and execution. Setting up environments for testing
    • Experience with Test Tooling - Defect tracking, Test execution, Jenkins
    • Work experience with CI/CD pipelines
    • Excellent problem solving skills and the zeal to learn quickly and adapt to changing requirements
    • Ability to collaborate and work independently when required.
      Preferred Technical and Professional Expertise
      Degree in Computer Science, , Engineering, or equivalent professional experience.
      • Work experience on different AI/ML frameworks to build ML models, including usage of Jupyter notebooks
      • Knowledge on micro-services
      • Understanding of different cloud platforms
      • Shell Scripting, Linux Administration
      • Exposure to DevOps practices
      • Knowledge on UI automation tools, such as Selenium
      • Experience with data generation for testing complex applications.

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