A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages.IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
IBM SevOne is a robust Network monitoring tool. As the industry’s most comprehensive and scalable network observability system, it delivers the modern collection, analytics, visualisation and automation capabilities required to transform raw network performance data into actionable, real-time insights.
8 to 12 years of strong software development work experience with :
Excellent C++ OR GO Lang programming skills.
Hands-on with MySQL or any other relational Data Base
Experience with Linux / Cent OS / RHEL
Experience with Python programming skills.
6+ years of experience using deep learning frameworks (TensorFlow, PyTorch, or Keras)
Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring.
Familiarity with Natural Language Processing (NLP) techniques.
Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations.
Proven expertise in integrating and working with LLMs to build robust AI solutions.
Skilled in crafting effective prompts to guide LLMs to provide desired outputs.
Hands-on experience with LLM frameworks such as Langchain, Langraph,CrewAI,
Experience in LLM application development based on the Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy.
Proficient in microservices development using Python (Django/Flask or similar technologies).
Experience in Agile development methodologies
Familiarity with platforms like Kubernetes and experience building on top of the native platforms
Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud).
Experience designing, building, and maintaining data processing systems working in containerised environments (Docker, OpenShift, k8s)
Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
Exposure to MLOPs frameworks and LLMOPs
Understanding of security and ethical best practices for data and model development
Exposure to the use of open-source software.
Exposure and understanding of Cloud systems like AWS, Azure & GCP.
Exposure to Terraform
Enterprise networking background.