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).
  • Exposure to rules engines (Drools Cogito Kapor) is helpful but not required.
  • Familiarity with DevOps basics (Kubernetes Docker monitoring tools like Grafana/Prometheus).
  • AI tooling (GitHub Copilot Cursor) not a dealbreaker if they lack experience but candidates should show openness and aptitude to adopt these tools.

Profile Fit:

• Looking for seasoned backend engineers (ICs) who can hit the ground running without learning both the domain and tech stack from scratch.
• Healthcare background is a plus but not mandatory. Strong experience processing large data volumes (tens of thousands to 100k records) is highly valued.
• Preference: candidates who show mature coding approaches in interviews (problem-solving methodology matters as much as correctness).

Other Notes:

• Location: Hybrid preference for local (SF Lehi Plano) if it turns into a longer-term need.

Thanks