Full Stack Engineer

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 120,000 - 150,000; Full time

Job summary

Stellantis Financial Services seeks a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. This role emphasizes AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, with hands-on frontend UI work and strong ownership.

You will build end‑to‑end solutions, integrate with data pipelines, and ensure performance, reliability, and observability across the stack.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Minimum of 5 years of overall experience.
• Experience in full stack software engineering or application development.
• Strong hands-on frontend/UI development using modern frameworks (React, Angular).
• Strong backend development experience in Python, Java, Node.js, or similar.
• Solid expertise in AWS including EC2, S3, Lambda, RDS, API Gateway, IAM.
• Experience integrating with Databricks or similar cloud-based data platforms.
• Experience with Power BI for reporting or dashboards.
• Hands-on experience with Grafana for monitoring and observability.
• Familiar with REST APIs, microservices, and backend-to-data platform integration.
• Experience in Agile teams using JIRA and Confluence.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications across frontend, backend, and cloud services.
• Build responsive, accessible frontend interfaces with modern UI frameworks.
• Develop and support backend services and APIs for integration and data access.
• Architect and manage cloud-based solutions using AWS services.
• Integrate applications with Databricks and AWS-based data platforms.
• Enable reporting and insights via Power BI dashboards and data models.
• Implement monitoring and observability with Grafana and cloud tools.
• Collaborate in Agile teams using JIRA, and maintain technical docs in Confluence.
• Work with DevOps, data, QA, and business stakeholders to deliver features.
• Troubleshoot production issues and improve reliability and performance.
• Contribute to architecture, standards, and reusable engineering patterns.
• Mentor junior developers and share knowledge across teams.

Skills

Frontend UI development

AWS

Databricks

Power BI

Grafana

JIRA

Confluence

Python

Java

Node.js

REST APIs

Microservices

SQL

Education

Bachelor's degree in CS/EE or related field

Tools

Docker

Kubernetes/OpenShift

CI/CD tooling

Job description

Role Overview

We are seeking a Senior Full Stack Engineer to design, develop, and support scalable enterprise applications across frontend, backend, cloud, and data platforms. This role requires strong expertise in AWS, Databricks, Power BI, Grafana, JIRA, and Confluence, along with hands‑on experience in modern frontend/UI development.

The ideal candidate will be responsible for building robust user‑facing applications, integrating backend services and data pipelines, and ensuring performance, reliability, and observability across the full technology stack. This role requires strong ownership, collaboration, and the ability to work across engineering, DevOps, data, and business teams.

Key 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, 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

Basic 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