About the job:

We believe in the importance of in-office collaboration and are seeking a Senior AI Java Engineer to work on-site and play a pivotal role in building the technology that powers our enterprise money movement platforms.

In this role, you will operate as a technical leader who is both deeply hands-on and strategically minded, owning the delivery of new capabilities and critical roadmap enhancements for a large-scale financial initiative. You will immerse yourself in a Java/Spring Boot ecosystem, applying modern engineering practices and tools to build high-quality, scalable, and resilient software solutions.

As a senior engineer, you will partner closely with product owners, architects, and engineering peers to translate business strategy into technical solutions. In addition to core technical leadership, you will push the envelope on how AI-assisted development and emerging AI capabilities are thoughtfully applied within our engineering practices. If you are motivated by owning complex technical problems, influencing architecture at scale, and serving as a standard-bearer within a collaborative financial services environment, this role offers the opportunity to make a lasting impact.

Minimum qualifications:

· Bachelor’s or Master’s degree in Computer Science, Information Technology, a related field, or equivalent practical experience demonstrating deep technical leadership and system design expertise.

· 7+ years of experience designing, developing, and delivering large-scale, distributed software systems, with hands-on expertise in Java, Spring, and Spring Boot (including REST-based APIs).

· 5+ years of experience working with cloud-native architectures, including containerized microservices, service orchestration, and distributed system integration in public or hybrid cloud environments.

· 7+ years of experience building and evolving CI/CD pipelines and deployment automation using tools such as GitHub, GitLab, Bamboo, or equivalent.

· Experience working with distributed and relational data stores (e.g., PostgreSQL, MS SQL Server, DB2, Aerospike) in complex transactional systems.

· Experience designing and operating event-driven and messaging-based architectures (e.g., Kafka, RabbitMQ) in low-latency or high-throughput environments.

· Experience designing and enforcing automated testing strategies (unit, integration, and acceptance testing).

· Experience implementing authentication and authorization mechanisms using industry standards (OAuth, SAML, or related frameworks).

· Ability to work on-site 4 days a week in either Southlake, TX or Austin, TX.

· Must be eligible to convert to a full-time employee without current or future employer sponsorship.

Preferred qualifications:

· Experience designing or supporting money movement/payment platforms within a regulated financial services environment.

· Exposure to common payment networks such as NACHA, FEDWIRE, SWIFT, RTP, or FEDNOW.

· Prior involvement in platform modernization or first-of-a-kind initiatives within banking or payment providers.

· Experience applying AI-assisted development techniques (e.g., GitHub Copilot) beyond basic code generation—such as design exploration, test generation, or developer workflow optimization—while operating within regulated environments.

Responsibilities:

· Provide technical leadership and hands-on delivery for large, cross-cutting initiatives across enterprise money movement platforms.

· Own solution design and architectural decisions for complex, multi-system workflows spanning the entire payment lifecycle, multiple payment networks, and downstream integrations.

· Partner with product, architecture, and business stakeholders to translate roadmap initiatives and regulatory considerations into pragmatic technical approaches.

· Act as a technical standard-bearer within the organization—establishing patterns, best practices, and guardrails across code, integration, testing, and system design.

· Lead engineering execution, reviewing designs and implementations, unblocking complex delivery challenges, and remaining deeply engaged in critical code paths.

· Champion the thoughtful use of AI-assisted development practices, setting practical, responsible standards appropriate for a regulated financial environment.

· Drive engineering excellence and operational rigor, including automated testing, reliability, security, and production readiness.

· Proactively identify architectural or systemic risks and lead mitigation efforts before client impact occurs.

· Support and evolve production systems, participating in complex issue triage and root cause analysis to inform long-term resiliency.