As a Backend developer you will be responsible for development/ maintenance/ Support of the watsonx.ai applications through the full systems development lifecycle.
Participate in the design and implementation of sophisticated software systems
You will work with the Product Architects, Product Managers to understand various priorities and work towards the execution.
Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members.
Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), and GitHub.
Ensure good code coverage. Support bug fixes during testing and deploy to target environments.
Participate in the planning, creation and execution of automated test cases and load/performance testing. Create/maintain technical documentation.
Hands on experience in handling and debugging customer issues, work with L2 support team.
Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members.
You will be providing vigilance and compliance to various software engineering, support and release processes e.g security, stack upgrades that are free of vulnerabilities etc.
Required Technical and Professional Expertise
12+ years of professional/industrial experience in software development.
Expertise in Openshift, Python, Pipeline, GPU inframanagement, Python
Good understanding of Docker, Kubernetes, OpenShift Container Platform, Linux Operating Systems (such as Red Hat, Ubuntu, etc.).
Expertise in Building Restful API, SDK APIs using different frameworks.
Experience writing / executing Unit Tests and REST API automation
Knowledge of network protocols such as TCP/IP, HTTP etc.
Experience and working knowledge of version Control systems like Github and build tools like Maven/Gradle.
Ability to learn and apply new technologies quickly.
Strong sense of ownership of deliverables.
Preferred Technical and Professional Expertise
Degree in Computer Science, , Engineering, or equivalent professional experience.
Working experience on Docker/Kubernetes, DevOps, Micro services
Expertise in Openshift, Python, Pipeline, GPU inframanagement, Python
Willing to lead and work on quick proof of concepts.