Mission:
The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing collaboration & skill development related to AI.
Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM.
Your Role & Responsibilities:
Looking to make a significant impact? This is your chance to become a key part of a dynamic team of talented professionals leading the development and deployment of innovative industry-leading cloud-based AI services.
We are seeking an experienced AI & Cloud Software Engineer to join us. This role designing developing and deploying AI-based services. You will be instrumental in problem-solving automating wide ranges of tasks and interfacing with other teams and solve complex problems.
Responsibilities:
- Develop AI capabilities in IBM Cloud based applications
- Design and be an avid coder who can get his hands dirty and be involved in the coding to the deepest level.
- Work in an agile environment of continuous deliverable.
- You’ll have access to all the technical training courses you need to become the expert you want to be.
· Define all aspects of development from appropriate technology and workflow to coding standards
· Collaborate with other professionals to determine functional and non-functional requirements
· Participate in technical reviews of requirements specifications designs code and other artifacts.
· Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company’s technical leadership position.
Required Skills:
· Minimum 7-12 years of experience as Full Stack Developer with a focus on AI projects
- Experience with AI and machine learning frameworks such as scikit-learn TensorFlow PyTorch LLMs Generative AI.
- Familiarity with AI model deployment and integration.
- Solid understanding of backend technologies including server-side languages (Node.js Python Java etc.) and databases (Cassandra PostgreSQL etc.).
- Understanding and experience with RESTful APIs Java/J2EE Kafka & GitHub.
· Strong experience with Cloud Technologies Kubernetes based microservices architecture Kafka Object Storage Cassandra database and docker container technologies. Knowledge on IBM Cloud Technologies will be an added advantage.
· At least 6 years of hands-on development experience building applications with one or more of the following: Java Spring Liberty Node.js Express.js Golang NoSQL DB Redis distributed caches containers etc.
· At least 3 years of experience in building and operating highly secured distributed cloud services with one or more of the following: IBM Cloud AWS Azure SRE CI/CD Docker Container orchestration performance testing etc.
- At least 3 years of experience in web technologies: HTTP REST JSON HTML Ajax JavaScript etc.
- Solid understanding of the micro-services architecture and modern cloud programming practices. Strong ability to design a clean developer-friendly API.
- Passionate about constant continuous learning and applying new technologies as well as mentoring others.
- Keen troubleshooting skills and strong verbal/written communication skills.
Preferred Skills:
· Experience in using messaging brokers like RabbitMQ Kafka etc.
· Operating Systems (such as Red Hat Ubuntu etc.)
· 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
· Experience in working on a SaaS application with high industry standard CI/CD and development cycle processes
· Strong sense of ownership of deliverables
· UI test automation skills - Selenium and/or Puppeteer
· Beyond the requirements candidates should be passionate about in the role:
· Continuous learning and ability to adapt to change
· Working across global teams and collaborating across teams and organization boundaries
· Finding innovative ways to solve complex problems with cutting edge technologies.