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# Senior Full Stack Software Engineer

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Extract Transform Load (ETL), Data Synchronization, Distributed Systems, Spring Framework, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Query Optimization, Amazon Simple Notification Service (SNS), Software Engineering, SQL Databases, Data Processing, Scripting, ReactJS, Large Language Models, Spring-boot, Vue.js, Event Driven Architecture, Information Technology, Apache Kafka, Front End Software Development, Restful APIs, Amazon Simple Queue Service (SQS)
- **Published:** September 18, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4q4l115a

## About the Role

* Bachelor''s degree or equivalent in Computer Science, Engineering, or related fields
 * Over 5 years of experience in software design and Java development
 * Proficiency with Spring framework components including Spring Boot, Security, Data, and Data REST
 * Experience with modern front-end frameworks such as Vue or React, including state management and asynchronous data loading
 * Skilled in SQL data modeling, preferably PostgreSQL, and query optimization at scale
 * Familiarity with AWS services like S3, Lambda, SNS, and SQS
 * Experience with Python scripting
 * Knowledge of event-driven architectures and messaging systems such as Kafka, Kinesis, SNS/SQS
 * Practical experience using AI development tools and building features with LLM APIs
 * Experience with RESTful web services
 * Ability to work effectively in a fast-paced environment
 * Experience mentoring other engineers

## Description

* Design and develop new APIs and data processing code in Java or Python
 * Build front-end features with data-dense interfaces for complex datasets
 * Create new data models to support increasing data volumes
 * Develop algorithms for data synchronization across distributed systems
 * Design and implement ETL processes integrating various data sources
 * Manage features end to end, including requirements, design, implementation, testing, deployment, and support
 * Utilize AI tooling in development workflows and help establish best practices
 * Write technical requirements and design documentation
 * Collaborate with cross-functional teams to develop new platforms and tools
 * Mentor fellow engineers through design and delivery phases


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