Senior Software Development Engineer, Loyalty - Full Stack

About the role

Design, build, and evolve full stack services and web experiences for global loyalty products, ensuring high availability, scalability, and performance across multiple customer and partner touchpoints.

Lead end-to-end system design, including low-level design, API design, and data modeling, to create maintainable, secure, and extensible solutions that align with loyalty platform architecture.

Own complex features and services across the stack from technical design through implementation, testing, deployment, and operational support, driving high engineering standards and code quality.

Collaborate with product, design, and cross-functional engineering teams to translate loyalty product requirements into technical solutions, making pragmatic trade-offs using data and customer impact.

Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including personalization, experimentation, or optimization capabilities within loyalty experiences and services.

Contribute to best practices, tooling, and engineering processes that enable reuse and fungibility across multiple domains and services within the loyalty ecosystem.

Responsibilities

• Design and implement full stack services and web experiences for global loyalty products.
• Ensure high availability, scalability, and performance across multiple customer and partner touchpoints.
• Lead end-to-end system design, including low-level design, API design, and data modeling.
• Create maintainable, secure, and extensible solutions that align with loyalty platform architecture.
• Own complex features and services across the stack from technical design through implementation, testing, deployment, and operational support.
• Drive high engineering standards and code quality.
• Collaborate with product, design, and cross-functional engineering teams to translate loyalty product requirements into technical solutions.
• Integrate and operate AI/ML-enabled solutions that improve outcomes, including personalization, experimentation, or optimization capabilities within loyalty experiences and services.
• Contribute to best practices, tooling, and engineering processes that enable reuse and fungibility across multiple domains and services within the loyalty ecosystem.

Requirements

Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

8+ years of relevant professional experience.

Professional software development experience building and operating full stack or backend services, including hands-on work with APIs, data models, and web applications.

Proven experience owning design and implementation for services or features within a multi-service or domain environment, including accountability for quality, reliability, and operational readiness.

Strong proficiency in at least one modern programming language and associated frameworks, with the ability to design, review, and debug complex, distributed systems.

Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Preferred Qualifications

• Experience designing and evolving large-scale, customer-facing platforms using Java, including event-driven and microservice-based architectures, with deep expertise in RESTful API design, data modeling, security, and service reuse across domains.
• Proven ability to drive operational excellence for high-traffic production systems, including observability, incident response, performance tuning, and capacity planning.
• Strong full-stack experience, including modern front-end development with React and integration with scalable back-end services in cloud-native environments.
• Hands-on experience integrating and operating AI/ML-enabled capabilities in production, including use of developer AI tools such as Claude, GitHub Copilot, and Cursor to improve productivity, code quality, personalization, and automation outcomes.
• Familiarity with ad-tech, user targeting, experimentation, and data analytics practices to inform iterative improvement of loyalty or transactional products.