11 дней назад
Senior Engineer - Loyalty Technology
142 000 - 220 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer - Loyalty Technology (Java/Spring Boot/Kafka): Building and operating scalable services, APIs, and event-driven pipelines that power earning, awarding, tiering, redemption, and rewards lookup across the loyalty platform with an accent on reliability, security, observability, and cloud-native delivery. Focus on leading multi-service solution design, resolving complex production incidents, mentoring engineers, and applying AI-native engineering practices with rigorous validation.
Location: 1600 7th Avenue, Seattle, Washington 98101, United States
Salary: $142,000–$220,500 annually
Company
operates a retail loyalty platform serving customers and store associates across multiple channels.
What you will do
- Lead technical strategy and design for scalable, reliable, secure loyalty technology solutions spanning multiple services and engineering workstreams.
- Design, build, and maintain services, APIs, reusable components, and Kafka-based event-driven pipelines for earning, awarding, tiering, redemption, and rewards lookup.
- Improve performance, availability, observability, security, automated testing, CI/CD, deployments, and release processes.
- Integrate loyalty services with vendors and third-party loyalty or promotions platforms.
- Analyze defects and operational bottlenecks, support complex production incidents through 24x7 on-call participation, and improve system stability.
- Mentor engineers, lead design and code reviews, and contribute to AI-native engineering practices.
Requirements
- 6+ years of professional software engineering experience and a Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- Strong knowledge of Java and Spring Boot, object-oriented design, application design patterns, APIs, services, data stores, cloud infrastructure, and operational tooling.
- Experience with RESTful services, event-driven applications, Kafka or similar event-streaming platforms, and AWS or GCP.
- Experience analyzing, designing, coding, testing, installing, and maintaining complex software programs.
- Experience collaborating across business, product, infrastructure, security, and engineering functions, with strong technical communication skills.
- Hands-on experience using AI tools in engineering work, with responsibility for verifying their correctness, security, performance, and maintainability.
Nice to have
- Experience with Python, React, JavaScript, or C#.
- Familiarity with Kubernetes, Docker, CI/CD, automated testing, and Scrum, Kanban, or Lean practices.
- Experience with system metrics, real-time alerting, reporting, dashboards, and reliability visibility.
- Experience with loyalty, rewards, points-based programs, or third-party loyalty and promotions platforms.
- Interest in advancing AI-native automation and operational practices.
Culture & Benefits
- Participation in 24x7 on-call support and incident resolution.
- Medical, vision, dental, retirement, paid time away, life insurance, and disability benefits.
- Merchandise discount and employee assistance program resources.
- Potential eligibility for performance-based incentives or bonuses.
- Benefits eligibility may depend on location, job level, classification, and length of employment.
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