Full Stack Software Engineer (Java / React / GCP / ML)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full Stack Software Engineer (Java / React / GCP / ML) in the United States.

This Full Stack Software Engineer will contribute to a long-term initiative focused on developing modern internal tools that optimize operational workflows and task execution. You will work across backend services, front-end interfaces, and mobile-integrated systems, with opportunities to implement machine learning and GenAI components. This role emphasizes clean architecture, scalability, and innovative solutions that enhance system performance. Engineers will collaborate in a fully remote, enterprise-level environment, contributing to impactful projects that streamline processes and improve operational efficiency. Ideal candidates are proactive problem-solvers who thrive in a fast-paced, agile setting and enjoy influencing technical decisions while working independently and as part of a distributed team.

Accountabilities

• Design, develop, and maintain scalable backend systems using Java 21+ and clean, maintainable APIs.
• Build production-ready front-end interfaces using React, including responsive designs for mobile integration.
• Integrate machine learning and AI capabilities into workflows to automate processes and enhance performance.
• Work with Google Cloud Platform services, including Pub/Sub and Vertex AI, for cloud-native development.
• Ensure full-stack development adheres to best practices in architecture, performance, and maintainability.
• Utilize AI-assisted coding tools such as GitHub Copilot or Gemini to improve efficiency and testing.
• Collaborate remotely with cross-functional teams, contributing to architecture discussions, code reviews, and documentation.
• Participate in the long-term evolution of enterprise tools and operational systems.

Requirements

• 4+ years of software engineering experience in large-scale enterprise environments.
• Proficiency in Java 21+ with experience in object modeling (JSON) and scalable backend architecture.
• 2+ years of hands-on front-end development using React (latest), building production-ready UIs.
• Experience designing responsive interfaces for mobile integration.
• Hands-on experience with Google Cloud Platform (Pub/Sub, Vertex AI).
• Familiarity with machine learning projects and AI-enhanced development tools.
• Strong problem-solving, critical thinking, and independent delivery skills.
• Clear communication and collaboration skills in remote team settings.
• Must reside within the continental U.S. and work exclusively on this W-2 contract role.
• Nice-to-Have: Angular experience or additional backend engineering experience.

Benefits

• Comprehensive medical, dental, and vision insurance options (50% employer-paid premiums)
• 401(k) plan eligibility after 1 year of employment
• Profit-sharing opportunities
• Professional development and training programs
• Fully remote work with employer-provided equipment

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1