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Java Fullstack

Java Fullstack

Advantra Consulting GroupSan Francisco, CA, United States
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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

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    Java • San Francisco, CA, United States

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