Full Stack Engineer

Fiat Chrysler Automobiles N.V.

Auburn Hills, MI, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

careers.stellantis.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Application Frameworks Application Integration Architecture Business Logic Confluence JIRA Cloud Computing

+46 more

Computer Engineering Information Engineering Data Infrastructure Data Security Software Debugging Software Design Patterns DevOps Design of User Interfaces Identity and Access Management Python (Programming Language) Node.Js OpenShift Performance Tuning Scrum Methodology Power BI Standard Sql Software Engineering Web Application Frameworks Data Processing Enterprise Software Applications Cloud Platform System Modern Ui Cloud Monitoring ReactJS Large Language Models Grafana Apache Spark Generative AI Backend Event Driven Architecture Amazon Relational Database Service Containerization AngularJS Material UI Information Technology Atlassian Tools Data Management Front End Software Development Functional Programming Api Gateway Restful APIs Serverless Computing Docker Databricks Web Api Microservices

Job description

Design, develop, and maintain end-to-end full stack applications, including frontend UI components, backend APIs, and cloud-native services
Build responsive, reusable, and user-friendly frontend interfaces using modern UI frameworks, ensuring performance, accessibility, and consistency across applications
Develop and support backend services and APIs for application integration, business logic, and data access
Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services
Integrate applications with Databricks and AWS-based data platforms to support data processing, analytics, and reporting use cases
Enable business reporting and insight generation by supporting integration with Power BI dashboards and data models
Implement monitoring, observability, and application health dashboards using Grafana and cloud monitoring tools
Collaborate in Agile teams using JIRA for sprint planning and tracking, and maintain technical documentation in Confluence
Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery of features and releases
Troubleshoot production issues, perform root cause analysis, and improve application reliability, scalability, and maintainability
Contribute to architectural decisions, coding standards, reusable frameworks, and engineering best practices
Mentor junior developers and support knowledge sharing across frontend, backend, and platform teams

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
A minimum of 5 years of overall experience
Experience in full stack software engineering or application development
Strong hands-on experience in frontend/UI development using modern frameworks such as React, Angular, or similar
Strong experience in backend development using Python, Java, Node.js, or similar technologies
Solid expertise in AWS cloud services including EC2, S3, Lambda, RDS, API Gateway, and IAM
Experience integrating applications with Databricks or similar cloud-based data platforms
Experience working with Power BI for reporting integration, dashboard enablement, or data model support
Hands-on experience with Grafana for monitoring, dashboard creation, and observability
Good understanding of REST APIs, microservices architecture, and application integration patterns
Strong knowledge of SQL, data access patterns, and backend-to-data platform integration
Experience working in Agile teams using JIRA and Confluence
Strong debugging, troubleshooting, and performance optimization skills

Preferred Requirements:

Experience with containerization and orchestration using Docker and Kubernetes/OpenShift
Exposure to CI/CD pipelines and DevOps practices
Familiarity with Databricks workflows, Spark, and Lakehouse concepts
Experience with event-driven architecture and serverless design patterns
Exposure to Power BI administration or advanced dashboard integration
Knowledge of enterprise application security practices
Experience in automotive or enterprise-scale platforms
Exposure to Generative AI / RAG / LLM-enabled applications