Java Fullstack

Senior Java Full Stack Engineer

Location : Lehi, UT | Plano, TX | SF, CA (2days / week in office))

Experience : 8+ Years of working as a full-stack engineer

Job Summary :

We are seeking a highly skilled Java Full Stack Engineer to lead the design and development of scalable, high-performance web services and applications. The ideal candidate will have deep expertise in Java / Spring Boot, React, microservices, and cloud-native environments, along with a passion for leveraging AI-powered developer tools to enhance productivity and code quality.

Responsibilities :

Lead end-to-end development of services across backend (Java / Spring), integration platforms and React frontend

Build and extend APIs and data services (micro-services) to enable partner integrations and downstream systems

Integrate and operationalize AI-powered developer tools (e.g. Copilot, Cursor) and contribute to incorporating ML-backed capabilities into platform workflows

Collaborate with product managers, backend engineers, operations, and data teams to solve complex real-world problems like data and interface integrations, data enrichment, and automated decision rules.

Translate business requirements to technical design specifications

Qualifications :

Well-versed in technologies such as Java & Spring, including strong understanding of microservices architecture.

Experience building file (EDI, CSV), messaging based integrations (Kafka) will be a plus

Have experience building frontend features in React / Angular

Extensive experience workings hands on with native cloud capabilities (SaaS, PasS) with AWS / GCP

Has hands-on experience with data architecture, SQL / PostgreSQL and building data intensive services and solutions

Use AI-enhanced development tooling like GitHub Copilot, Cursor, or WindSurf as part of your regular development workflow

Strong communication to clearly communicate up, down and across teams

Role Expectations :

• Core stack : Java (min. version 17), Spring Boot, AWS, PostgreSQL.
• Key must-have : Strong Kafka experience (microservices + batch use cases).
• Other nice-to-haves :

Query tuning / database optimization (Postgres).

Profile Fit :

Other Notes :

Thanks