Software Engineer

Responsibilities

• Lead the design, development, and implementation of innovative, scalable, and high-quality software solutions
• Drive technical strategy, architectural patterns, and best practices, ensuring alignment with company goals and long-term vision.
• Make high-level technical decisions, including technology selection, and influence organizational technical strategy.
• Create novel solutions and implement advanced architectural patterns, focusing on domain-driven design, clean architecture, event-driven patterns, caching, partitioning, latency, scalability, and availability.
• Provide strategic insights and recommendations to leadership, proactively identifying gaps and proposing solutions.
• Design, implement, and optimize systems for performance, security, privacy, and compliance, anticipating future requirements and building extensible solutions.
• Deliver business outcomes by building systems that meet Service Level Objectives (SLOs), implementing sophisticated testing strategies, and driving quality tool adoption.
• Lead and ensure high-quality code reviews, manage branching strategies, and promote Clean Coding practices.
• Improve developer productivity by automating manual steps in CI/CD and reducing feedback loops.
• Balance technical debt with business needs and collaborate effectively across teams and with leadership.
• Deliver valuable, working, tested, quality software, released at market speed.
• Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset.
• Develop and automate unit and integration test scripts.
• Automate performance monitoring and notification in the event of failures using best practices and tools.
• Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables.
• Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery.
  

Qualifications

• Master’s degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience).
• 5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred).
• Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery, Dataflow, and DataProc.
• Expertise in one or more widely used programming languages and technologies including Python, Java, JavaScript/TypeScript, HTML/CSS or Angular/React.
• Experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases, and columnar databases (e.g., BigQuery).
• Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
• Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
• A passion for data, innovation, and continuous learning.
• Excellent oral, written, and interpersonal communication skills.