Tech Anchor

GDIA Mission and Scope-

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

We are seeking a highly technical and experienced individual to fill the role of Tech Anchor/Solution Architect within our Industrial System Analytics (ISA) team. As a Tech Anchor, you will provide technical leadership and guidance to the development team, driving the design and implementation of cloud analytic solutions using GCP tools and techniques.

Key Roles and Responsibilities of Position:

• Provide technical guidance, mentorship, and code-level support to the development team
• Work with the team to develop and implement solutions using GCP tools (BigQuery, GCS, Dataflow, Dataproc, etc.) and APIs/Microservices
• Ensure adherence to security, legal, and Ford standard/policy compliance
• Drive effective and efficient delivery from the team, focusing on speed
• Identify risks and implement mitigation/contingency plans
• Assess the overall health of the product and raise key decisions
• Manage onboarding of new resources
• Lead the design and architecture of complex systems, ensuring scalability, reliability, and performance
• Participate in code reviews and contribute to improving code quality
• Champion Agile software processes, culture, best practices, and techniques
• Ensure effective usage of Rally and derive meaningful insights
• Ensure implementation of DevSecOps and software craftsmanship practices (CI/CD, TDD, Pair Programming)

Qualifications:

• Bachelor's /Master's/ PhD in engineering, Computer Science, or in a related field
• Senior-level experience (8+ years) as a software engineer
• Deep and broad knowledge of:
  • Programming Languages: Java, JavaScript, Python, SQL
  • Front-End Technologies: React, Angular, HTML, CSS
  • Back-End Technologies: Node.js, Python frameworks (Django, Flask), Java frameworks (Spring)
  • Cloud Technologies: GCP (BigQuery, GCS, Dataflow, Dataproc, etc.)
  • Deployment Practices: Docker, Kubernetes, CI/CD pipelines
• Experience with Agile software development methodologies
• Understanding/Exposure of: CI, CD, and Test-Driven Development (GitHub, Terraform/Tekton, 42Crunch, SonarQube, FOSSA, Checkmarx etc.)