Backend Java Developer -- Hybrid -- W2 Profiles

Role: Backend Java Developer
Location: Atlanta, GA - Hybrid
Core Technical Requirements
Programming
Strong preference / required experience in:

• Java / J2EE
• Go
• SQL
• Object-Oriented Programming

Cloud
Experience with:

• AWS
• Google Cloud Platform

Preferred AWS services:

• EC2
• S3
• RDS

Distributed Systems
Strong understanding of:

• Data Structures
• Algorithms
• Distributed Systems
• Scalable architectures
• High-volume applications

Architecture

• OOD — Object-Oriented Design
• SOA
• Modern architecture frameworks
• REST
• gRPC
• Web services
• Backend architecture
• Technical design and architecture

Containers
Preferred:

• Docker
• Kubernetes

AI Requirements
Candidate should have experience with AI technologies/tools, including:

• Large Language Models — LLMs
• Prompt Engineering
• Python
• DialogFlow
• AI/ML model integration
• AI-driven development tools

Must understand:

• How AI models function
• Different types of AI models
• Advantages/disadvantages of different approaches
• Integrating AI/ML models into backend solutions or user experiences
• Practical AI applications
• Modern AI tools and technologies

Responsibilities

• Gather functional requirements.
• Develop technical specifications.
• Perform project and test planning.
• Build scalable and efficient systems.
• Protect user accounts.
• Develop tools/utilities to prevent abuse and misuse.
• Maintain code quality.
• Ensure operational excellence.
• Follow software engineering best practices.
• Build prototypes and POCs.
• Work cross-functionally with:
• Product Management
• Development
• Policy
• Product Lines
• Data Science
• Legal
• Security
• Analyze abuse trends.
• Solve vague customer problems end-to-end.
• Make independent technical decisions.
• Mentor engineers.
• Review code.
• Contribute to architecture and design.

Coding Expectation
80–90% hands-on coding
This is important when screening candidates. Avoid candidates who are primarily managers/architects with limited recent coding.
Preferred Domain Experience
Strong preference for candidates with:

• Fraud prevention
• Abuse prevention
• Abuse patterns
• Cybersecurity
• Account/user protection
• Trust & safety-related engineering

Methodologies

• Agile
• Scrum
• Extreme Programming — XP
• Full SDLC experience

Soft Skills

• Strong analytical skills
• Problem-solving
• Communication
• Technical leadership
• Mentoring
• Ability to explain complex technical concepts to technical and non-technical audiences
• Self-starter
• Comfortable with ambiguity
• Adaptable to fast-paced environments

Education

• BS/MS in Computer Science
• Or equivalent work experience