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IBM Deutschland GmbH Logo IBM Deutschland GmbH · IT - Software Development

Software Engineer

India, Hyderabad, Pune, Bangalore · Job Posted December 25, 2025
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Job Description

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.

Job Responsibility

  • 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
  • Focus on development of IBM Systems products interfacing with development & product management teams and end users
  • Analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle
  • Could also work on Validation and Support of IBM Systems products
  • 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
  • For Systems and Cloud Software Engineer: Design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems
  • Could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability & Serviceability
  • 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
  • For AI Software Engineer: Be 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
  • Work as a Full stack developer starting from understanding client challenges to providing solutions using AI

Requirements

  • Bachelor's Degree
  • 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
  • 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.

Nice to have

  • 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
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