Description
Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. As a Full Stack Software Engineer at Ford Motor Company, you will join the Global Data Insight & Analytics (GDIA) team and play a crucial role in designing, developing, testing, and maintaining software applications and products to meet customer needs.
Responsibilities: As a full stack software engineer, you will collaborate with Product Managers, Product Designers, Data Scientists, and fellow engineers to deliver impactful analytic solutions. You will take ownership of the full technical lifecycle, handling both the end-to-end development and the ongoing support and maintenance of these solutions.
Key responsibilities include:
- Providing thought leadership across the greater Ford community
- Defining, designing, developing, and deploying applications/services
- Performing design review, code review, and mentoring junior team members
- Creating proof-of-concepts to test business ideas with working software
- Using Agile principles and software craftsmanship practices to sustainably and efficiently engineer software
- Collaborating with product managers, product designers, product owners, data scientists, and other software engineers to define product direction
- Integrating with other Ford systems and business processes to create new digital experiences
- Partnering with software engineers and data scientists from other teams to build solutions with proven value
Qualifications:
- 5+ years' experience in Software Engineering
- Bachelor’s degree in computer science, computer engineering, or a combination of education and equivalent experience
- 3+ years' experience with developing for and deploying to cloud platforms (e.g., GCP, PCF, Azure)
- Experience with implementing and optimizing cloud services and tools (e.g., Terraform, BigQuery, GCP)
- Strong background in core software engineering, including languages such as Java, Python, SQL, and methodologies like Test-Driven Development (TDD)
- Experience with cloud and infrastructure, including GCP services like Cloud Run, Google Cloud Storage (GCS), Kubernetes Engine (GKE), Cloud SQL, Cloud IAM, and BigQuery
- Familiarity with DevOps, reliability, and security, including CI/CD tools like Jenkins, Tekton, GitHub Actions, and monitoring tools like Splunk, Dynatrace, Grafana
- Knowledge of data engineering and machine learning, including data processing and databases like Big Data, PySpark, MS SQL Server, PostgreSQL, and MySQL
Benefits:
- Immediate medical, dental, vision, and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more
- Family building benefits, including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time