Senior Software Engineer

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 looking for a Senior Software Engineer with 4+ years of experience, to join our Servicing Engineering team and help build a next-generation, AI-powered servicing platform.

This role focuses on designing and building intelligent, scalable servicing systems - including AI assistants, agentic workflows, and platform APIs - while also improving observability, reliability, and performance across core backend services.

This is a hands-on role for engineers who enjoy combining strong backend engineering with AI-driven innovation and modern platform practices.

• Design and build backend services using Java and Spring Boot
• Develop secure, scalable APIs for servicing workflows and integrations
• Contribute to frontend experiences using React or modern JavaScript frameworks (preferred, not mandatory)
• Own features end-to-end, including design, development, testing, deployment, and production readiness

• Design and build backend services using Java and Spring Boot
• Develop secure, scalable APIs for servicing workflows and integrations
• Contribute to frontend experiences using React or modern JavaScript frameworks (preferred, not mandatory)
• Own features end-to-end, including design, development, testing, deployment, and production readiness

• Build AI-driven servicing capabilities, including:
• AI assistants and chat-based self-service experiences
• Agentic AI workflows that execute multi-step actions safely and reliably
• Design and develop platform APIs that expose servicing capabilities to:
• Web and mobile experiences
• Internal tools
• Partner and external AI agents
• Rapidly prototype ideas and validate them through POCs and experiments, taking successful concepts into production

• Build AI-driven servicing capabilities, including:
• AI assistants and chat-based self-service experiences
• Agentic AI workflows that execute multi-step actions safely and reliably
• Design and develop platform APIs that expose servicing capabilities to:
• Web and mobile experiences
• Internal tools
• Partner and external AI agents
• Rapidly prototype ideas and validate them through POCs and experiments, taking successful concepts into production

• Instrument services using New Relic, Splunk, and OpenTelemetry
• Improve end-to-end transaction visibility across distributed systems
• Collaborate with platform and reliability teams to improve:
• Telemetry consistency
• Incident detection and diagnosis
• Performance, scalability, and uptime

• Instrument services using New Relic, Splunk, and OpenTelemetry
• Improve end-to-end transaction visibility across distributed systems
• Collaborate with platform and reliability teams to improve:
• Telemetry consistency
• Incident detection and diagnosis
• Performance, scalability, and uptime

• Strong experience with Java and Spring Boot
• Experience building and operating production-grade backend systems
• AI-first mindset, with hands-on use of tools like GitHub Copilot or similar
• Practical exposure to building or experimenting with:
• AI chatbots or assistants
• Agentic AI or AI-driven workflows
• Experience with observability and telemetry, including:
• New Relic (APM, metrics, tracing)
• Splunk (logs and analysis)
• Ability to prototype quickly, learn fast, and iterate confidently

• Frontend experience with React or other modern JavaScript frameworks
• Exposure to AWS cloud services, especially those related to AI or scalable backend systems
• Familiarity with platform engineering concepts such as:
• Feature flags and canary deployments
• API versioning and governance
• High-availability and scalable architectures

• Opportunity to work on real-world AI systems, not just demos or experiments
• Build enterprise-grade agentic AI that performs real actions, not just conversations
• High-impact work on customer experience, operational efficiency, and platform scalability
• Strong emphasis on engineering quality, observability, and reliability
• A role where AI is a core part of how engineering gets done, not an add-on

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.

Employment is contingent upon the successful completion of a background check.