Role overview
About this role
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. As a Software Developer on the IBM Cloud Network Services team, you will contribute to the development and operation of critical cloud infrastructure services, including DNS and NTP. Working alongside experienced engineers, you will help build reliable, secure, and scalable solutions that support IBM Cloud customers worldwide. In this role, you will: Design and develop enhancements for IBM Cloud DNS and NTP services, translating functional and operational requirements into technical solutions. Implement, test, and maintain service components, automation, and tooling using modern software engineering practices. Build and execute unit, integration, and functional tests to ensure service quality, reliability, and performance. Collaborate with DevOps and CI/CD teams to automate build, validation, deployment, and release processes. Support the compliance, security, and operational integrity of production cloud environments. Participate in observability, monitoring, troubleshooting, and incident response activities to help meet service reliability objectives. Partner with Site Reliability Engineering (SRE), Networking, Security, and Platform Engineering teams to resolve technical issues and improve service resiliency. Contribute to technical documentation, operational runbooks, and continuous improvement initiatives. Participate in code reviews and team discussions to learn best practices and contribute to engineering excellence. Continuously develop technical skills and gain exposure to cloud-native technologies, networking concepts, and distributed systems. Pursuing a Bachelor's or Master’s degree in Computer Science, Computer Engineering, Information Technology, Networking, or a related technical field. Experience through coursework, projects, internships, or research in software development, cloud technologies, networking, or distributed systems. Proficiency in one or more programming or scripting languages such as Go, Python, Bash. Familiarity with infrasructure as code or orchestration tools like Terraform or Ansible Working knowledge of Linux operating systems, preferably Ubuntu and/or Red Hat Enterprise Linux (RHEL). Understanding of networking fundamentals, including TCP/IP, DNS, NTP, routing, load balancing, and troubleshooting concepts. Familiarity with container and orchestration technologies such as Docker and Kubernetes. Exposure to source control, automated testing, and CI/CD development practices. Strong analytical, problem-solving, verbal, and written communication skills. Demonstrated ownership, teamwork, adaptability, and a passion for learning and technology. Experience with cloud platforms, cloud-native applications, or infrastructure services. Knowledge of large-scale DNS architectures, time synchronization services, and highly available distributed systems. Familiarity with engineering and operational tools such as GitHub, Jira, Confluence, and ServiceNow. Exposure to infrastructure automation, configuration management, and platform engineering practices. Understanding of observability, monitoring, logging, alerting, and incident management processes. Awareness of security, compliance, and reliability best practices in cloud environments. Experience leveraging AI-assisted development tools and applying AI capabilities across the Software Development Lifecycle (SDLC), including coding, testing, documentation, and operational support. Interest in Site Reliability Engineering (SRE), cloud networking, and scalable platform services. United States Infrastructure & Technology Hybrid Entry Level Austin, US Austin (0147) International Business Machines Corporation Artificial Intelligence Bourne-again Shell Computer Science Docker Domain Name System Engineering Github Atlassian Jira Operating Systems Windows PowerShell Computer Programming Python Red Hat Enterprise Linux Ruby Programming Language ServiceNow Software Development Ubuntu Software Development Lifecycle Written communication Kubernetes Passion Atlassian Confluence Systems Development Life Cycle Technology