Software Engineer

Introduction

IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments.

India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance & Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps.

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.
  
  

At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let’s talk.

Required Technical And Professional Expertise

Systems and Cloud Software Engineer:

As a Software Engineer with IBM Systems and Cloud Software teams, you will get the opportunity to get involved in all the phases of software development and work with technically accomplished teams. The responsibilities comprise of design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems. You could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability & Serviceability thereby, enabling the creation of a seamless software user experience across the stack delivering to IBM’s Hybrid Cloud and AI clients. As an engineer you will be responsible for enhancing and maintaining the key components of the Software stack, Platform enablement and an opportunity to work on closed and Open source development communities.

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