Your role and responsibilities

As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software.  

As a Software developer at ISDL: 

• You will be focused on development of IBM Systems products interfacing with development & product management teams and end users, cutting across geos.
• You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products.
• You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers.
• You will be valued for your contributions in a growing organization with broader opportunities.

Required Technical Expertise: 

• Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture.
• Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting.
• Comfortable in working with Github and leveraging Open source tools.

AI Software Engineer:  

As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z. 

You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI. 

Required Technical Expertise: 

• Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills,
• Strong programming skills like – C, C++, R, Python, Go Lang and well versed with Linux platform.

• Strong understanding of Data Science, modern tools and techniques to derive meaningful insights
• Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc.
• Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch
• Understanding of Deep Learning Compilers (DLC)
• Natural Language Processing (NLP) skills
• Understanding of different CPU architectures (little endian, big endian).
• Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data.

Preferred technical and professional experience

Preferred Technical Expertise: 

• Practical working experience with Java, Python, GoLang, ReactJS,
• Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills,
• Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment.
• Basic understanding of storage technologies: SAN, NAS, DAS
• Familiarity with RAID levels and disk configurations

• Knowledge of file systems (e.g., NTFS, ext4, ZFS)
• Experience with operating systems: Windows Server, Linux/Unix
• Basic networking concepts: TCP/IP, DNS, DHCP
• Scripting skills: Bash, PowerShell, or Python (for automation)
• Understanding of backup and recovery tools (e.g., Veeam, Commvault)
• Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage