Full Stack Developer

Role Overview

Design and deliver scalable, high-performance automotive software systems powering vehicle history, data services, and transaction platforms. This role focuses on Java, React, and AWS cloud-native development, supporting high-volume APIs and real-time data solutions for dealers, lenders, and partners.

What You’ll Do

· Lead development of complex features, POCs, and scalable systems.

· Design and build Java/Spring Boot microservices and REST APIs.

· Develop cloud-native solutions on AWS with strong focus on performance, scalability, and reliability.

· Implement and maintain CI/CD pipelines, test automation, and monitoring solutions.

· Collaborate with cross-functional teams to refine requirements and deliver high-quality solutions.

· Participate in full SDLC, including design, development, deployment, and support.

· Conduct code/design reviews and mentor junior engineers.

· Leverage AI coding assistants to improve productivity and code quality.

What you bring

· 8+ years building distributed, high-volume, multi-tenant systems.

· Strong experience with Java, Spring Boot, microservices, and API development.

· Hands-on experience with AWS (compute, storage, containers, security, monitoring).

· Experience with event-driven systems and messaging (SQS, Kafka, ActiveMQ).

· Experience with observability and monitoring tools (e.g., Splunk, Dynatrace, Datadog) for logging, tracing, and performance optimization.

· Front-end experience with React, JavaScript, HTML/CSS.

· Experience with PostgreSQL/DB2 and performance tuning.

· Strong knowledge of Agile, SDLC, and engineering best practices.

· Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar).

Modern engineering practices (Required)

· Experience with AI coding assistants (GitHub Copilot, Cursor, Claude Code, Codex, or similar).

· Ability to effectively use AI tools for code generation, testing, and refactoring while ensuring quality and security.

· Strong understanding of validating and reviewing AI-assisted code outputs to meet enterprise standards and compliance requirements.