Emerging Analytics Software Engineer

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Job Title:
Emerging Analytics Software Engineer
Ford Motor Company

Job Description
Position Description/Overview:

Emerging Analytics is a product line that delivers a scalable and extensible test and learn ecosystem that is focused on new advanced opportunities. The ecosystem is an integrated, multi-platform solution that incorporates in-vehicle technology and Ford’s next generation cloud technologies. This position is a great opportunity to drive the Emerging Analytics delivery, which will bring to production many key strategic capabilities.

Emerging Analytics is GDI&A’s primary capability to enable advanced analytics technologies in the big data space that will lead to improved quality, design, marketing, and development of our current and future products. This includes the delivery of core Search at Scale and Deep Learning/Machine Learning capabilities for the company that is a key enabler for innovation and mobility.

GDI&A IT is looking for a Software Engineer focused on delivering software leveraging eXtreme Programming and cloud technology. In this environment the Software Engineer is expected to embrace paired programming, developing working, tested code based on proven Lean/Agile methods. Engineers on the team work across the full stack of technologies to enable the highest priority work to be delivered. The Software Engineer will work in a small, cross-functional, and co-located team. The Software Engineer will collaborate directly and continuously with product managers and designers, and will release early and often.

Position Responsibilities:

  • Work hands-on with the team and other stakeholders to deliver quality software products that meet our customer’s requirements and needs.
  • Help GDI&A Partners understand our iterative development approach and focus on delivering a Minimum Viable Product through careful and deliberate prioritization.
  • Work with design resources (internal and/or external) to ensure timely delivery of designs and assets to the development team.
  • Mentor and train other Software Engineers to help them learn agile/XP methods and build skills.
  • Help innovate and iterate on agile processes and share our findings.
Job Requirements

Basic Qualifications:
  • Bachelor’s Degree
  • 3+ years of work experience in either of the skill sets
  • 3+ years with Object Oriented development in at least one of the following web or mobile technologies:
    • Java/Ruby/Python/Golang
    • Spring and/or Rails frameworks
    • Swift/Objective-C
    • Android
  • 3+ years of software engineering experience & experience with OO Design Principles
Preferred Skills:
  • Practiced in eXtreme Programming (XP) disciplines including:
    • Paired programming
    • Test-first/Test Driven Development (TDD)
    • Experience with Spring Cloud and deploying to cloud platforms, preferably Pivotal Cloud Foundry or Cloud Foundry
  • Highly effective in working with other technical experts, Product Managers, UI/UX Designers and business stakeholders
  • Delivered products that include web front-end development; JavaScript, client-side MVC frameworks like Angular, React, etc.
  • Capable in Continuous Integration/Continuous Delivery tools and pipelines such as Jenkins, Maven, Gradle, etc.
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team, you discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.