Java Fullstack
Java Fullstack
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Job Description
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
Employment Type
Full Time
