Software Engineer, Full Stack Developer

Location: Dearborn, Michigan

Title: Software Engineer #1040571

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full‑stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

• Engage with customers to deeply understand their use‑cases, pain points, and requirements, showcasing empathy and advocating for user‑centric software solutions
• Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies
• Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc.
• Create high‑level software architecture designs that outline the overall structure, components, and interfaces of the application
• Collaborate with cross‑functional teams like product owners, designers, architects etc.
• Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices
• Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency
• Familiar with programming practices, such as test‑driven development, continuous integration, and continuous delivery
• Support security practices to safeguard user data including encryption and anonymization
• Create user‑friendly and interactive interfaces
• Develop and maintain back‑end applications like APIs and microservices using server‑side languages
• Evaluate and incorporate emerging technologies and capabilities to deliver solutions, monitoring and participating in new stack layers involving industry collaboration

• Python, Spring Boot

• GCP Cloud Run, Angular, Spring Boot, SQL, Big Query, Tekton

• Engineer 3 Exp: practiced in 2 coding languages or advanced practice in 1 language, 6+ years in IT; 4+ years in development

• Experience developing software for an Automotive/Manufacturing company
• Experience working in a large multi‑national company with many diverse stakeholders and competing objectives

• Bachelor's Degree

• Certification Program, Master's Degree

• The Connected Vehicle Data Enablement (CVDE) organization within Global Data Insight and Analytics (GDIA) plays a pivotal role in harnessing advanced analytics technologies within the Big Data realm.
• Our mission is to enhance the quality, design, marketing, and development of our current and forthcoming products through innovative solutions.
• A key initiative includes developing a state‑of‑the‑art connected vehicle analytics platform, delivering actionable insights to our Vehicle Engineers to boost product quality and value.
• We are on the lookout for a Data Analytics Software Engineer with a keen focus on Data Transformation.
• This role demands a candidate adept in crafting complex analytic solutions, utilizing Python and/or Java within an Agile framework.
• Essential to this position is a solid track record in managing intricate data transformations and a profound understanding of Big Data methodologies and tools.

• Actively participate in the team's efforts to deliver high‑quality software products that align with our customers' requirements and expectations.
• Apply extensive technical expertise to develop effective Data Transformation solutions, advocating a collaborative problem‑solving approach.
• Manage multiple, competing priorities within a comprehensive software development environment.
• Educate business stakeholders on the advantages of an iterative development methodology, emphasizing the importance of delivering a Minimum Viable Product (MVP) through strategic prioritization.
• Enhance your technical knowledge and skills, serving as a mentor to other team members. 4 days in the office