Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways. BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn more at BHN.com.

We are seeking a passionate and driven Software Engineer II with strong expertise in Java, Angular, and AWS cloud services to join our high-impact engineering team. In this role, you will design, build, test, and deploy scalable solutions for BHN, with a focus on high availability, precision, and performance.

You will play a key role in evolving our hybrid architecture—modernizing legacy systems, enabling flexible validation flows, and integrating AI/ML capabilities into platform features. This position offers the opportunity to work across backend and frontend technologies, leverage LLMs and intelligent automation to accelerate development, contribute to architectural decisions, and push the boundaries of cloud-native, AI-augmented engineering.

• Analyze requirements and produce high-quality code for projects, taking ownership of individual modules from design through deployment.
• Use AI-powered developer tools (code assistants, automated test generation, AI code review) to accelerate delivery while maintaining code quality standards.
• Design event-driven, cloud-native microservices on AWS with automated failover, auto-scaling, and AI-driven observability (anomaly detection, predictive alerting, intelligent log analysis).
• Follow sound development practices, establish close collaboration with cross-functional teams, and participate in biweekly support rotation. Design, develop, and unit test software applications, adapting and enhancing engineering processes and tools as needed.
• Lead team code reviews, manage code effectively, and improve code management procedures.
• Demonstrate expertise in diagnosing complex issues, contribute to change management processes, and establish good engineering practices.
• Mentor team members on both traditional engineering patterns and emerging AI-assisted development workflows, fostering a culture of continuous learning.
• Write clean, reusable code for readability and testability, ensuring products are performant, scalable, and fault-tolerant.
• Collaborate with architects, product owners, and stakeholders to create and deliver exceptional product requirements, evolving the platform toward AI-ready service boundaries.