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Applaudo is seeking an experienced Java Engineer to design, develop, and scale enterprise applications using Java, Spring Boot, and Oracle ADF. You will build and maintain integrations across distributed systems, leveraging Azure for deployment and message-driven architectures with Kafka.
The role emphasizes collaboration with US-based teams, modernization initiatives, and a strong focus on performance and reliability in cloud environments.
You are an experienced Java Engineer who enjoys building scalable, reliable enterprise applications and solving complex integration challenges. You bring a strong technical foundation in Java and Spring Boot, with the ability to work across interconnected systems, modern cloud environments, and established enterprise architectures.
You are comfortable navigating existing applications, understanding complex business workflows, and contributing to modernization initiatives that improve performance, maintainability, and scalability. You enjoy designing integration solutions, exploring messaging and event-driven architectures, and collaborating with cross-functional teams to deliver high-quality software that supports critical business operations.
We Are Engineered Different.
At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.
We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.
Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.