Sr Full Stack & AI 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 a Senior developer you will be responsible for designing and developing components and features independently in IBM India Systems Development Lab. ISDL works on end to end design and development across Power, z and Storage portfolio. You would be a part of WW Storage development organization and would be involved in designing , developing and discussing product delivery & strategy. You should also have leadership quality to manage and work as technical leads and be able to deliver end to end features.

Responsibilities:

• Develop AIOps capabilities in IBM Cloud based SaaS application
• 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 Technical and Professional Expertise

• 10+ Years of relevant Industry Experience
• Proven experience as a 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.
• Experience in monitoring technologies such as Prometheus, Grafana, ELK etc.
• Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.
• Excellent communication and collaboration skills.

Preferred Technical and Professional Expertise

• Domain Knowledge on storage system management.
• Architect-level cloud certifications
• Coding experience beyond simple scripts
• Hands-on with IBM Cloud