Software Development Engineer - AI Focus

Onbe Financial Services

Plano (TX)

On-site

USD 119,000 - 150,000

Full time

10 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) matching
Unlimited PTO
Work from anywhere
Parental leave

Job summary

Onbe Financial Services is seeking a Software Development Engineer focused on AI-driven development. You will design, implement, and operate Java microservices (Java 21+, Spring Boot 3) and contribute to clean architecture and secure REST APIs.

The role emphasizes AI-assisted coding, code review, and ownership of production outcomes. You will collaborate with SMEs and external vendors to modernize legacy capabilities into domain-driven services, with cloud and CI/CD practices on Azure and

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field or equivalent professional experience.
  • 5+ years of professional software engineering experience.
  • Strong experience with Java 21+ and modern Java development practices.
  • Hands-on experience with AI-assisted software engineering tools, specifically Claude Code.

Responsibilities

  • Design, develop, and operate production-grade Java microservices using Java 21+ and Spring Boot 3.
  • Decompose legacy monoliths into independently deployable services with internal SMEs and external vendors.
  • Own domain services and drive architecture, reliability, and evolution.
  • Develop secure RESTful APIs and implement event-driven integrations using Azure Service Bus or similar.

Job description

Software Development Engineer - AI Focus

Onbe, a fast-growing FinTech, bringing innovation to a rapidly growing global marketplace, stands for "on behalf." Because that's exactly how we work: on behalf of our clients, as their comprehensive payments partner. We transform the way payments are imagined - as an opportunity for innovation, a source of insight to customers, and a way to connect with partners around the globe!

Summary: We are looking for a Software Development Engineer with deep hands‑on experience using AI‑coding agents as a primary development method. In this role, AI-assisted coding will be embedded throughout the daily engineering lifecycle: analyzing legacy systems, translating requirements into designs, generating and refactoring Java code, creating unit and integration tests, producing documentation, troubleshooting defects, and accelerating migration into independently deployable microservices. You will be expected to demonstrate proficiency with tools such as coding agents, prompt‑driven development, and AI-generated test automation - not simply familiarity with them. Alongside strong Java and production engineering skills, you must be able to provide effective context to AI tools, review and improve their output, identify security and reliability risks, and take full ownership of the resulting production code. The target environment includes Java 21+, Spring Boot 3, Azure, REST APIs, event-driven integration, Docker, Kubernetes, and automated delivery.

Responsibilities

  • Design, develop, and operate production-grade Java microservices using Java 21 or higher and Spring Boot 3.
  • Partner with a core group of internal SMEs and an external vendor to decompose legacy Java and SQL monolith capabilities into independently deployable, domain-oriented services.
  • Serve as one of the long-term owners of the resulting domain service(s) once the vendor engagement concludes — driving its architecture, reliability, and evolution going forward.
  • Bring fresh, modern engineering perspective to legacy code and processes, challenging established patterns where a better approach exists.
  • Develop and maintain secure RESTful APIs using Spring Boot and API-first design practices.
  • Implement event-driven integrations using Azure Service Bus or comparable messaging platforms.
  • Design and maintain data access layers using JPA/Hibernate, JDBC, and relational databases such as Azure SQL or Microsoft SQL Server.
  • Build automated unit, integration, API contract, regression, and end-to-end tests, following TDD and shift-left quality practices.
  • Use AI coding agents and other AI-assisted engineering tools to generate, refactor, test, document, and troubleshoot software while reviewing and owning the final output.
  • Contribute to CI/CD pipelines, infrastructure automation, service configuration, secrets management, observability, and production support.
  • Monitor application performance, availability, and reliability; participate in incident response and continuous improvement.
  • Collaborate with product, architecture, platform, security, QA, and business-domain teams to deliver complete solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • 5+ years of professional software engineering experience, including substantial hands-on experience developing Java applications.
  • Strong experience with Java 21 or higher and modern Java development practices.
  • Strong hands-on experience using AI-assisted software engineering tools or coding agents, specifically Claude Code
  • Strong hands-on experience with Spring, Spring Boot, JPA/Hibernate, and REST API development.
  • Experience modernizing or migrating monolithic applications to microservices or cloud-native architectures.
  • Experience with relational databases, SQL, data modeling, transactions, and performance tuning.
  • Experience with automated testing frameworks such as JUnit, Mockito, and comparable integration or contract-testing tools.
  • Experience with Docker and Kubernetes; Azure Kubernetes Service experience is preferred.
  • Hands‑on experience with cloud platforms, preferably Azure.
  • Experience with CI/CD, Git, Maven or Gradle, and deployment automation.
  • Ability to evaluate AI-generated code for correctness, security, maintainability, performance, and test coverage.
  • Strong communication, collaboration, problem-solving, and end-to-end ownership skills

Preferred Qualifications

  • Experience with Agile development methodologies
  • Experience in payments, fintech, banking, insurance, or another regulated industry.
  • Familiarity with payment processing, ledgers, settlement, ACH, cards, KYC, fraud controls, PCI, auditability, and sensitive-data protection.

The base salary range for this position is budgeted for $119,070 to $150,000 with eligibility for an annual bonus. The actual base salary offered depends on a variety of factors, including but not limited to the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, business needs, and market demand. Our competitive benefits include medical, dental, vision, wellness, 401(k) matching, unlimited PTO, work from anywhere, generous parental leave, and more!

At Onbe, a diverse group of people, ideas, and perspectives are key to achieving phenomenal things. For over 25 years, our focus remains on building a culture of openness and ingenuity, where employees come together to innovate and build disbursement solutions that make the lives of our clients and their consumers and workforces easier and better. Our definition of success includes celebrating differences and affirming belonging. To that end, we ask employees to come to Onbe as they are and contribute their diverse perspectives, identities, and experiences.

We believe that the recruiting phase is only the very beginning of diversity and inclusion. At Onbe, we’re constantly evolving the way we celebrate diversity every day and in everything we do. With several internal committees that are dedicated to mental and physical wellness, diversity, inclusion, and community outreach, we are committed to making a culture that is inclusive to all.

Onbe is proud to be an equal opportunity employer. We seek out ways to create a mindful workforce that embraces diversity and celebrates a culture of inclusion. We do not discriminate against employees or job applicants on the basis of race, color, ancestry, national origin, sex (including pregnancy), gender identity, sexual orientation, marital or family status, religion, age, disability, genetic information or military service. Our equal opportunity policy applies to all decisions of employment including hiring, placement, promotion or advancement, termination, layoff, recall, transfer, compensation, training and leaves of absence

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