Java Developer [AQ-13952]

About the role

Aquent is partnering with a leading financial services institution at the forefront of innovation, where your expertise will directly shape the future of core transactional systems and technology infrastructure. We are seeking exceptional talent to drive pivotal modernization by blending deep cloud-native engineering with the transformative power of generative AI. Your contributions will deliver secure, scalable, and high-performing solutions that underpin vital financial operations, making a tangible impact on millions of users.

As a key contributor, you will build and modernize highly available, secure, and scalable services that power high-volume financial transactions. This role integrates cutting-edge AI-assisted workflows across the entire software development lifecycle to enhance efficiency, quality, and speed.

Responsibilities

• Design, develop, and enhance large-scale software solutions using Java, Spring, cloud technologies, and web services.
• Build highly available systems that support high-volume financial transactions.
• Apply generative AI throughout the software development lifecycle, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.
• Utilize AI coding assistants to generate code and tests, support reviews, automate routine tasks, and reduce context switching while maintaining ownership of the final output.
• Implement and deploy AI, machine learning, and Large Language Model-enabled solutions in production environments.
• Develop agentic and specification-driven workflows that translate class structures, API contracts, data models, and other design artifacts into structured implementation plans.
• Create reusable prompts, custom instructions, validation practices, and team-level standards for effective AI-assisted development.
• Design, build, and maintain containerized microservices in cloud environments.
• Contribute to continuous integration and continuous delivery pipelines.
• Support the modernization of legacy or monolithic systems into distributed, cloud-native architectures.
• Identify technical risks, troubleshoot complex issues, and ensure application performance, reliability, security, and scalability.
• Collaborate with developers, architects, and cross-functional partners to deliver solutions efficiently.
• Mentor engineers and promote strong engineering, testing, documentation, and quality practices.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of professional software engineering experience, including recent hands-on development with Java and the Spring framework.
• Experience building large-scale web services and distributed applications that support high-volume transactions in highly available environments.
• Strong cloud-native engineering experience, including microservices, containers, and CI/CD.
• Hands-on experience implementing and deploying AI, machine learning, or Large Language Model-enabled solutions in production.
• Practical experience using generative AI coding assistants (e.g., GitHub Copilot, Claude Code) within IDE- or CLI-based engineering workflows.
• Experience applying generative AI across multiple stages of the software development lifecycle (e.g., implementation, testing, refactoring, troubleshooting, code review, automation, and documentation).
• Ability to evaluate and validate AI-generated output for quality, security, accuracy, maintainability, and alignment with engineering standards.
• Experience with at least one major cloud platform (e.g., AWS, Google Cloud Platform, Pivotal Cloud Foundry).
• Experience working with databases such as MongoDB, Aerospike, PostgreSQL, or comparable technologies.
• Experience modernizing legacy or monolithic systems into distributed architectures.
• Working knowledge of agentic workflows, specification-driven development, custom instructions, and prompt engineering.
• Understanding of financial services capabilities, transactional systems, or other highly regulated technology environments.
• Excellent communication skills and the ability to collaborate with and provide technical leadership to other engineers.
• A proactive, collaborative approach to working with developers, architects, and adjacent teams.

Nice-to-Have Qualifications

• Master’s degree in Information Technology, Computer Science, or a related discipline.
• Experience in the financial services, brokerage, wealth management, banking, payments, or capital markets industries.
• Experience modernizing mainframe, COBOL, or DB2 applications into Java-based distributed systems.
• Knowledge of messaging technologies such as RabbitMQ, Kafka, or equivalent platforms.
• Experience with Test-Driven Development, automated testing, QA automation, and quality-focused engineering practices.
• Experience creating architectural diagrams, design documentation, functional and technical specifications, and automated test processes.
• Ability to research and document production and test environments, system architecture, and application dependencies.
• Knowledge of Agile methodologies and experience working within an Agile engineering environment.

Benefits

Eligible talent get access to amazing benefits, including:

• Subsidized health, vision, and dental plans.
• Paid sick leave.
• Retirement plans with a match.
• Free online training through Aquent Gymnasium.