Ford of Canada's operations include a national headquarters, three vehicle assembly and engine manufacturing plants, three parts distribution centers, and three Connectivity and Innovation centers. Ford employs approximately 7,000 people in Canada, while an additional 18,000 people are employees in the more than 400 Ford and Ford-Lincoln dealerships across the country. Successful candidate will be working with the diagnostics cloud team on development of Java micro-services.

These micro-services handle several business-critical tasks such as connected vehicle diagnostics data ingestion, diagnostics data searchability (APIs & UI), bulk log searches, stack trace generation, automated Jira creation, and more. Strategically identify and proactively eliminate critical bottlenecks across complex system architectures, driving initiatives that enhance overall system performance and reliability. Lead the definition and evolution of high-level architectural designs for recent projects and significant enhancements to existing systems, ensuring scalability, robustness, and alignment with long-term technical vision.

Drive advanced optimization strategies for micro-service ecosystems,



significantly reducing compute resource consumption and delivering substantial cost efficiencies for Ford through innovative technical solutions. Define and implement initiatives for improving stack trace generation success rate for software process crash data. Design and implement other post processing activities such as transcription, DID decoding, or others to enhance the value of our data to Ford engineers.

Provide technical leadership and mentorship to junior and mid-level engineers and perform rigorous, high-quality code reviews to ensure robust and maintainable code. Bachelor's degree in Computer Science or a related field of study. Minimum 8+ years of software development experience (in C#, Java, or similar).

Adept background in relational databases (such as SQL server). Proficient understanding of algorithmic complexity and a focus on writing high performing software/efficient code.

Experience in software design.

Experience with web UI design, HTML, and JavaScript. Data analysis experience. Accommodations for applicants with disabilities throughout the recruitment, selection and/or assessment processes, where needed, are available upon request.

Ford Motor

Company of Canada, Limited, does not sponsor work permit applications. #

📌 Technical Expert, FNV Diagnostics Cloud (Ontario)
🏢 Ford Motor
📍 Ontario