Entry Level Software Developer-Different locations

Location Flexibility: By applying to this requisition, you acknowledge and agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned. As a Software Developer within IBM Infrastructure, you will design, develop, test, and maintain enterprise-class software solutions that power IBM's infrastructure offerings, including hybrid cloud, storage, data protection, automation, security, and systems management products. You will collaborate with cross-functional teams to deliver scalable, secure, and reliable solutions that help clients modernize and manage their critical IT environments.

• Design, develop, test, and maintain high-quality software solutions using modern software engineering practices.
• Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, deployment, and support.
• Collaborate with product management, architects, quality assurance, support, and operations teams to deliver customer-focused solutions.
• Develop scalable, secure, and performant applications, services, APIs, and backend components.
• Troubleshoot and resolve software defects, performance bottlenecks, and customer-reported issues.
• Contribute to architecture discussions, technical design reviews, and code reviews.
• Create and maintain technical documentation, test plans, and operational procedures.
• Implement automated testing, CI/CD pipelines, and DevOps practices to improve software quality and delivery efficiency.
• Stay current with emerging technologies and recommend improvements to products, processes, and development methodologies.
• Support agile development processes and actively participate in sprint planning, standups, retrospectives, and backlog refinement activities.
• Proficiency in one or more programming languages such as Java, Python, Go, C++, JavaScript, or similar.
• Understanding of software design principles, object-oriented programming, and data structures.
• Experience developing REST APIs, microservices, or distributed systems.
• Knowledge of source control systems such as Git.
• Experience with Linux/Unix environments and command-line tools.
• Understanding of software testing methodologies, debugging, and performance analysis.
• Familiarity with databases, including relational and/or NoSQL technologies.
• Knowledge of cloud computing concepts, containerization, and CI/CD practices.
• Experience with Kubernetes, OpenShift, Docker, or cloud-native architectures.
• Knowledge of hybrid cloud platforms and infrastructure management solutions.
• Experience with storage, backup, disaster recovery, cybersecurity, or enterprise infrastructure technologies.
• Familiarity with AI/ML, automation frameworks, or agentic AI solutions.
• Experience building highly available, scalable distributed systems.
• Knowledge of observability, monitoring, logging, and site reliability engineering (SRE) practices.
• Experience with DevSecOps, security best practices, and secure software development.
• Familiarity with IBM technologies, Red Hat OpenShift, IBM Cloud, or enterprise software products. United States Infrastructure & Technology Hybrid Entry Level Multiple Cities POUGHKEEPSIE ROCHESTER TUCSON San Jose Austin (0147) International Business Machines Corporation Artificial Intelligence C++ Cloud Computing Data Structures Databases Debugging Disaster Recovery Distributed Systems Docker Enterprise Software Git Infrastructure Java JavaScript Linux Logging Machine Learning Object-Oriented Programming Performance Analysis Python Security Software Software Development Storage Unix Cybersecurity Programming Languages Containerization Not Only Structured Query Language Kubernetes Microservices Development Observability Representational State Transfer Application Programming Interface Site Reliability Engineering DevSecOps Infrastructure Management Continuous Integration/Continuous Delivery Red Hat OpenShift Automation Frameworks Software Testing Methodologies Source Cloud Platforms Control Systems Design Principles