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Mid-level backend role, hybrid metro location, recognizable global brand, and popular 3–5 year experience band raises competition.
Core backend engineering skills (Java, microservices, Kafka) are highly transferable across industries.
Explicit 3–5 years and mandatory Java, Spring Boot, and Kafka make filters strict.
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Design and build robust Java backend services powering personalized, data-driven customer communication workflows at global scale.
Contribute to distributed, event-driven system design and develop shared libraries and internal tools to improve reliability and delivery speed.
Collaborate across product, marketing, and engineering teams to translate complex workflows into scalable technical solutions; embed AI-assisted coding tools into daily development.
3–5 years of hands-on backend engineering experience, preferably with cloud-native or distributed systems.
Proficient in Java and Springboot within a modern microservices architecture.
Experience with distributed systems design and event-driven patterns, including message brokers like Apache Kafka.
Bachelor's or Master's degree in Computer Science or a related discipline.
Experienced backend engineer with emphasis on scalable, resilient distributed systems operating at campaign or global scale.
Comfortable integrating AI coding assistants (Claude, Cursor) effectively while maintaining sound engineering judgment.
Collaborative mindset to work closely with cross-functional stakeholders translating complex workflows into technical solutions.