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 hiring a Software Engineer II to join our  Core Systems teams at BHN.

This team drives automation, reliability, observability, upgrade readiness, and operational excellence across multiple backend platforms. The role combines strong backend engineering with an AI-first approach to productivity, debugging, automation, and modernization.

What You’ll Work On

• Production Reliability 
• Observability & Telemetry
• Application & Infrastructure Modernization
• Security, PCI & Vulnerability Remediation
• Automation & AI-Augmented Engineering

What We’re Looking For

Required

• 2–5 years of backend engineering experience

• Strong proficiency in Java and Spring Boot

• Solid understanding of distributed systems fundamentals (timeouts, retries, logging, monitoring)

• Experience working in large scale enterprise grade production environments

• Familiarity with vulnerability remediation and patching workflows

• Hands-on exposure to:

  • Open Telemetry, New Relic (APM, metrics, traces)

  • Splunk (log analysis)

• Comfortable using AI tools as part of daily development workflow

• Strong debugging and problem-solving skills

Nice to Have

• Experience with OpenTelemetry

• Exposure to AWS cloud services

• Familiarity with CI/CD pipelines and release automation

• Understanding of PCI or regulated environments

• Experience participating in incident response or on-call rotations

We seek candidates who not only demonstrate curiosity and adaptability in emerging technologies but have also successfully implemented and utilized AI tools to enhance their work, improve processes, or deliver measurable results.  Our teams embrace continuous learning and the thoughtful integration of AI to create meaningful impact – for our employees and the future of work.