**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: * Visionary Software Infrastructure Design and Development: Envision, design, and build the Software infrastructure that keeps the solutions running. * Innovative Problem Solving for Efficient Solutions: Challenge ideas, identify problems and create efficient solutions. * Flexible, Maintainable, and Scalable Application Components: Develop flexible, maintainable, and scalable application components. * Leading Technological Innovation through Collaboration: Collaborate with development peers and lead the way staying up to date with tools and technology trends. **Required technical and professional expertise** * Cloud Platform Knowledge: Proficiency in Google Cloud Platform (GCP) is essential, as many discussions revolve around GCP projects, services, and resources. * Infrastructure as Code: Understanding of Terraform and Terraform Enterprise (TFE) is crucial, as there are multiple mentions of Terraform-related issues and configurations. * Identity and Access Management (IAM): Knowledge of GCP IAM, including service accounts, roles, and permissions, is frequently needed to address user queries. * DevOps and CI/CD: Familiarity with DevOps practices and CI/CD pipelines, including tools like GitHub Actions, is important for troubleshooting deployment issues. * Networking and Security: Understanding of cloud networking, firewall rules, and security best practices is necessary to assist with configuration and compliance issues. * Database Management: Knowledge of various database types, including SQL and NoSQL, is helpful for addressing data-related queries. * Scripting and Automation: Proficiency in scripting languages like Python or Bash is valuable for automating tasks and solving user problems efficiently. Monitoring and Observability: Familiarity with tools like Looker for creating dashboards and monitoring cloud resources is beneficial. * Cost Optimization: Understanding of FinOps principles and cloud cost management is important, as there are discussions about reducing wasteful cloud spend. * Documentation and Knowledge Management: Skills in creating and maintaining technical documentation, such as ADRs (Architecture Decision Records), are valuable for improving the overall knowledge base. * Collaboration Tools: Proficiency in using collaboration platforms like Slack, Jira, and Confluence is essential for effective communication and problem-solving. * Containerization: Knowledge of container technologies, particularly in the context of GCP, is helpful for addressing deployment and scaling issues. * Fluent English