Software Engineer

• Technical Proficiency: Experience in software development tools and a track record of modernizing technology, including cloud migrations and Enterprise Technology Refresh (ETR) initiatives for tools like SonarQube, uBuild, Jenkins, GitHub Actions etc.
• CI/CD Expertise: Demonstrates a strong ability to improve continuous integration through automation of the delivery pipeline.
• Automation and Scripting: Utilize scripting languages to automate large-scale data migration tasks.
• Code Analysis: Use SonarQube (or similar source code analyzers) to ensure code quality and identify potential vulnerabilities.
• Software Development: Java knowledge or experience to software development tasks. Utilize Spring/Spring boot knowledge to develop and maintain applications.
• Cloud and Container Technologies: Work with Container as a Service (CaaS), Pivotal Cloud Foundry (PCF), Linux, WebSphere Application Server (WAS), and VM environments.
• Agile Mindset: Embodies an agile personality and a software craftsmanship mindset, contributing to the success of agile projects by actively participating in daily stand-up meetings, backlog grooming, prioritization efforts, and iteration planning sessions.
• Collaboration and Prioritization: Works effectively with Product Development Organization (PDO) teams to prioritize, plan, and deliver software that meets business needs.
• Service Delivery and Compliance: Delivers services within agreed-upon service levels, adheres to processes as per IT Security Policy, and provides comprehensive audit support.
• Cross-Functional Coordination: Coordinates seamlessly with various teams in IT, Enterprise Connectivity, and Product Development to ensure objectives are met efficiently.
• Process Improvement: Proactively identifies opportunities to improve processes and enhance the efficiency of data handling.
• Customer Focus: Works closely with Product team customers to understand their needs and translate requests into actionable backlog items and user stories.
  

Responsibilities

• ⁠⁠⁠⁠⁠⁠⁠AI Adoption and Ethical Use: Embrace the exploration and application of AI technologies while adhering to ethical guidelines and ensuring responsible implementation.
• CI/CD Pipeline Development and Management: Design, build, and maintain efficient CI/CD pipelines using source code management tools (e.g., GitHub) and build/deployment tools (e.g., Jenkins, GH Actions) with hands-on experience to ensure effective code management and deployment.
• API Interaction and Data Gathering: Understand API collections and demonstrate proficiency in reading and writing JSON responses from various applications to gather metrics.
• Collaboration and Communication: Demonstrate strong collaborative and communication skills to effectively work with others, navigate complex decision-making processes, and adapt to working across different time zones with sensitivity to cultural and geographical differences.
• Technology Research and Implementation: Research and evaluate new technologies, influencing and implementing enterprise technology shifts and trends to improve Ford's application delivery processes.
• Troubleshooting and Support: Leverage strong technical expertise in an application development language to support product teams by troubleshooting build, scan analysis, testing, and deployment issues within the build pipeline.
• GCP Service Management: Demonstrate a strong understanding of various GCP services, including Compute Engine, Cloud SQL for PostgreSQL, and Google Kubernetes Engine (GKE), to effectively manage and utilize these services.
• DevOps and DevSecOps Practices: Implement and adhere to DevOps and DevSecOps principles to streamline development and enhance security.
• Backlog Management: Use backlog tools such as Rally/Jira to manage and track tasks effectively.
• Problem Solving: Apply strong analytical and problem-solving skills to resolve technical challenges.
• Continuous Learning: Demonstrate the ability to learn new technologies and processes such as Azure, Extreme Programming, Agile practices, etc.,
  

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Information Systems,
• 8+ years of progressive experience in IT
• 3 years of experience with each of the following skills is required:
• in Design, build, and manage containerized applications using Kubernetes and container platforms, construction and optimization of container images.
• Apply software engineering, computer systems, or network administration expertise to develop, maintain, and troubleshoot Complex Information Technology Systems.
• Design, implement, and optimize CI/CD pipelines by leveraging Jenkins/ other CI/CD pipeline tools, for continuous integration and orchestrating multi-cloud continuous delivery, to automate build, testing, and deployment processes.
• Leverage GitHub for efficient source code management and collaboration.
• Automate workflows and system operations through scripting in Linux, Shell, and Python.
• Develop, configure, and deploy applications using Helm Charts.
• Utilize and administer Agile backlog management tools Rally and Jira to drive sprint planning, tracking, and delivery.