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A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
As an Application Developer with DevOps skills, you will be responsible for installing, configuring, and managing popular DevOps automation tools on both cloud and non-cloud infrastructure. You will utilize your deep understanding of the project and application context to tailor the DevOps tools accordingly. Your primary responsibilities will include: * Install and Configure DevOps Tools: Set up and manage popular DevOps automation tools on cloud and non-cloud infrastructure, tailoring them to meet specific project and application requirements. * Develop Continuous Integration: Establish continuous integration for automated and continuous builds, creating build scripts and versioning to ensure seamless deployment of applications on servers. * Implement Continuous Testing: Design and implement continuous testing to ensure high-quality deliverables, leveraging your knowledge of software engineering processes and DevOps best practices. * Deploy Applications: Package and deploy applications on servers, utilizing your proficiency in coding languages such as Java, Shell, and Python. * Apply SDLC Methodologies: Apply software development life cycle (SDLC) methodologies to ensure adherence to industry standards and best practices throughout the development process.
* Exposure to DevOps Automation Tools: Familiarity with installing, configuring, and managing popular DevOps automation tools on cloud and non-cloud infrastructure, with the ability to tailor them to specific project and application requirements. * Experience with Continuous Integration: Knowledge of setting up continuous integration for automated and continuous builds, creating build scripts and versioning to ensure seamless deployment of applications on servers. * Understanding of Software Engineering Processes: Solid foundation in software engineering processes, including coding in languages such as Java, Shell, and Python, and applying DevOps best practices. * Familiarity with SDLC Methodologies: Exposure to software development life cycle (SDLC) methodologies, with the ability to apply them to ensure adherence to industry standards and best practices throughout the development process. * Proficiency in Scripting Languages: Proficiency in scripting languages such as Java, Shell, and Python, with the ability to apply them in a DevOps context.
* Proficiency in Cloud Infrastructure: Exposure to cloud infrastructure, including the ability to install, configure, and manage DevOps automation tools on cloud-based systems. * Knowledge of Containerization: Familiarity with containerization concepts and tools, such as Docker, to ensure efficient application deployment and management. * Experience with Agile Methodologies: Exposure to Agile development methodologies, including Scrum and Kanban, to facilitate iterative and incremental software development.
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