Java Developer [AQ-19042]

Aquent; Southlake (TX); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Vision benefits

Dental benefits

Pension/retirement matching

Training programs

Job summary

Aquent, in partnership with a leading financial services organization, is seeking a visionary leader to guide AI initiatives across the SDLC, transforming development through GenAI-enabled workflows and modernized platforms. You will build intelligent systems using Java and Spring, drive AI adoption, and collaborate across engineering and architecture to deliver high-volume, secure cloud solutions.

This role blends deep software engineering with AI application, offering impact on modernization

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience.
• 7+ years of professional software engineering experience with Java, Spring, cloud development, and high-volume transactions.
• 2+ years of hands-on AI/ML implementation and production deployment.
• 6+ years of containers and microservices in the cloud.
• 6+ years of cloud deployment in CI/CD environments.
• 2+ years with PCF, AWS, or GCP.
• 2+ years with MongoDB, Aerospike, or PostgreSQL.
• Experience with GenAI coding assistants across the SDLC.
• Strong communication and leadership skills.

Responsibilities

• Lead the integration of GenAI coding assistants into engineering workflows for correctness and quality.
• Drive AI adoption for code generation, testing, reviews, and automation.
• Apply GenAI strategies to reduce context switching and accelerate delivery.
• Establish team practices for AI-assisted development, including prompt engineering.
• Develop large-scale Java/Spring solutions in cloud environments with high availability.
• Support IT transformations and modernization from legacy to distributed architectures.
• Collaborate with developers, architects, and adjacent teams to deliver high-quality solutions.

Skills

Java

Spring Framework

Cloud development

CI/CD

Microservices

AI/ML implementation

GenAI coding assistants

Prompt engineering

Large Language Models

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Copilot

Claude Code

Docker

Kubernetes

PCF/AWS/GCP

Job description

Join a leading financial services organization, partnered with Aquent, dedicated to transforming the industry through innovative technology. We are embarking on a significant technical transformation, modernizing core infrastructure and pioneering AI-focused workflows. This is your chance to make a profound impact, building intelligent systems that directly influence the financial security of millions. You'll be at the forefront of integrating cutting-edge AI with complex financial domains, driving innovation and shaping the future of our platforms.

Are you ready to revolutionize how solutions are developed and delivered? We are seeking a visionary to lead our AI initiatives across the System Development Life Cycle. In this dynamic role, you will be instrumental in transforming our development processes, from implementation and refactoring to testing, automation, and documentation. You will leverage advanced AI technologies to accelerate delivery, enhance quality, and reduce context switching, directly contributing to the success of critical modernization efforts. This is an exciting opportunity to blend deep software engineering expertise with pioneering AI application, empowering you to challenge the status quo and create tangible, impactful solutions that will shape the future of our platforms and empower millions.

What You'll Do

• Lead the integration and application of GenAI coding assistants (such as GitHub Copilot or Claude Code) into day-to-day engineering workflows, ensuring correctness and quality.
• Drive the adoption of AI assistance for common development tasks, including code suggestions, test generation, code review support, automation scripts, and troubleshooting.
• Apply GenAI strategies to significantly reduce context switching and accelerate delivery across various development workflows.
• Establish and champion team-level practices for effective AI-assisted development, including agentic workflows, spec-driven development, custom instructions, and prompt engineering.
• Actively develop large-scale software solutions using Java and the Spring framework, supporting high-volume transactions in highly available cloud environments.
• Contribute to IT transformations and system modernization initiatives, migrating legacy platforms to distributed, modern architectures.
• Collaborate with fellow developers, architects, and adjacent teams with a collaborative mindset and a bias for action to deliver high-quality solutions.

Must-Have Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience in actively developing large-scale software using Java, Spring framework, cloud development, and Web Services supporting high-volume transactions in a highly available environment.
• 2+ years of hands-on experience with AI/ML implementation and production deployment.
• 6+ years of experience working with containers and microservices in the cloud.
• 6+ years of experience in cloud deployment in a continuous integration and continuous delivery (CI/CD) model.
• 2+ years of experience with Pivotal Cloud Foundry (PCF), AWS, or GCP.
• 2+ years' experience working with databases like MongoDB, Aerospike, and/or PostgreSQL.
• 2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms.
• Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC - implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation - while applying engineering judgment and validation.
• Practical familiarity with tools such as GitHub Copilot or Claude Code within IDE/CLI-style workflows.
• Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering.
• Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
• Excellent communication skills; proven ability to communicate and lead other engineers in a collaborative environment.

Nice-to-Have Qualifications

• Master's degree in Information Technology, Computer Science, or a related degree, OR related practical experience.
• Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent).
• Experience in the financial services industry.
• Experience in Test Driven Development, QA Automation, and a quality mindset and behaviors.
• Proficient in developing Visio diagrams, architectural and design documentations, functional and technical specifications, and automated test processes.
• Willingness to learn all aspects of the tech stack and document.
• Ability to research and document production and test environments along with architecture and design work.
• Knowledge of Agile methodology and experience in an Agile working environment.
• Experience with the Atlassian tool stack (JIRA and Confluence).

About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.