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Java Developer

V2Soft

Dearborn, MI

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Architectural Services, Artificial Intelligence (AI), Automation, Automotive Manufacturing, Building Codes, Business Solutions, Capability Maturity Model Integration (CMMI), Cloud Computing, Code Reviews, Communication Skills, Community Support, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Management, Distributed Computing, Documentation, Engineering, Fortune 500 Customers, GCP (Good Clinical Practices), ISO (International Organization for Standardization), Information/Data Security (InfoSec), Java, Leadership, Mentoring, Nonprofit, Object Oriented Design (OOD), Performance Tuning/Optimization, Product Support, Production Support, Production Systems, Productivity Management, Public Cloud, Python Programming/Scripting Language, Quality Management, Reliability Engineering, SQL (Structured Query Language), Software Administration, Software Engineering, Source Code/Configuration Management (SCM), Sustainability, Technical Leadership, Technical Recruiting, Technical Support, Telemetry, Test Automation, Testing, Use Cases
LOCATION
Dearborn, MI
POSTED
8 days ago
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquarteerd in Bloomfiled Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at www.v2soft.com  to know more . 



 Position Description:
The Connected Vehicle Data Enablement (CVDE) organization within Global Data Insight and Analytics (GDIA) builds the data platforms and software capabilities that help Ford teams transform connected vehicle data into actionable insights. Our work supports engineering, product quality, and analytics at scale through reliable, secure, and maintainable data platform solutions.
We are looking for a Senior Software Engineer - Data Platform with strong Java and Python experience to help design, build, and evolve production-grade data and automation solutions. This role is ideal for an engineer who combines strong software engineering fundamentals with practical experience delivering cloud-based data platform capabilities. The right candidate will be able to lead through technical depth, mentor peers, work through ambiguity, and remain highly hands-on in delivery, spending approximately 70-90% of their time writing code and building solutions. Role Overview You will work on a small, cross-functional team responsible for building and improving software systems, data transformation pipelines, and platform capabilities that support connected vehicle analytics and engineering use cases. You will partner closely with product managers, business stakeholders, and engineers to translate complex problems into practical, scalable technical solutions. This is a hands-on engineering role with meaningful ownership across architecture, implementation, and delivery.
Skills Required:
Spring Boot, Python, Google Cloud Platform, SQL
Skills Preferred:
GCP Cloud Run, Angular, Spring Boot, Big Query, AIPGEE
Experience Required:
- 6+ years of software engineering experience, including significant experience building cloud-based data platforms or data-intensive systems. - Strong hands-on development experience in both Java and Python, including design, implementation, testing, and deployment. - Proven experience architecting and delivering solutions from concept through production support. - Strong understanding of object-oriented design, distributed systems, and modern software engineering practices. - Experience building on public cloud platforms, preferably Google Cloud Platform (GCP). - Experience with cloud and data platform technologies such as BigQuery, Dataproc, Cloud Run, Airflow/Astronomer, or similar tools. - Experience with CI/CD pipelines, automated testing, and modern version control practices. - Experience with Infrastructure as Code, preferably Terraform. - Experience implementing observability practices, including logging, monitoring, alerting, and operational diagnostics for production systems. - Strong communication skills and the ability to work effectively with technical and non-technical stakeholders. - Demonstrated ability to mentor peers and influence engineering direction through day-to-day technical leadership.
Experience Preferred:
- Experience building data platforms, data-intensive applications, or large-scale transformation pipelines. - Experience in automotive, manufacturing, telemetry, or other large-scale operational data environments. - Experience working in a large global organization with diverse stakeholders and competing priorities. - Experience with backend or full-stack development in support of internal platforms or data products. - Experience using AI or automation tools to improve engineering productivity, code quality, testing, or documentation workflows. - Google Cloud certification.
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program, Master's Degree
Additional Information :
Hybrid Position 4 days a week onsite - Design, build, test, deploy, and support scalable software solutions using both Java and Python. - Lead the design and implementation of reliable, maintainable, and production-ready data platform and transformation capabilities. - Build and enhance cloud-native applications, services, and workflows on Google Cloud Platform. - Contribute hands-on code while also providing technical leadership, architectural guidance, and mentoring to other engineers. - Partner with stakeholders to clarify requirements, decompose complex problems, and deliver iterative value through agile development practices. - Drive engineering quality through strong design, code reviews, testing, CI/CD automation, observability, and operational excellence. - Improve platform reliability, supportability, and scalability through monitoring, logging, alerting, and performance optimization. - Contribute to infrastructure automation and environment consistency using Infrastructure as Code practices, including Terraform. - Balance short-term delivery goals with long-term platform sustainability, reuse, and technical health. - Evaluate and apply modern engineering tools, including AI-assisted development workflows, where they improve speed, quality, and team effectiveness.
 
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.  

About the Company

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V2Soft