Full Stack Engineer

Stellantis•Auburn Hills, MI

18h

About The Position

We are seeking a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. The role calls for expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, as well as hands-on experience in modern frontend and UI development. The engineer will build user-facing applications, integrate backend services and data pipelines, and ensure performance, reliability, and observability across the technology stack. The position requires ownership and collaboration across engineering, DevOps, data, and business teams.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
At least 5 years of overall experience.
Experience in full stack software engineering or application development.
Strong hands-on frontend/UI development experience using modern frameworks such as React, Angular, or similar.
Strong backend development experience using Python, Java, Node.js, or similar technologies.
Solid expertise in AWS services including EC2, S3, Lambda, RDS, API Gateway, and IAM.
Experience integrating applications with Databricks or similar cloud-based data platforms.
Experience 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.

Nice To Haves

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, or LLM-enabled applications.

Responsibilities

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, with attention to performance, accessibility, and consistency.
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, and API Gateway.
Integrate applications with Databricks and AWS-based data platforms for data processing, analytics, and reporting.
Support integration with Power BI dashboards and data models to enable business reporting and insights.
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 with DevOps, data engineering, QA, and business stakeholders to support feature and release delivery.
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.