Senior Java Engineer
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Likely real
- open for 104 days (90+ without a fill is a strong ghost signal)
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About the role
Requirements
Required Skills
6+ years of experience building client–server applications
Strong proficiency in Java (Java 21+) and deep understanding of OOP principles.
Strong hands-on experience with Spring Framework: Spring Boot, Spring Core, Spring Web.
Solid knowledge of software design patterns, data structures, and application/solution architecture principles.
Strong knowledge of RESTful services and API design best practices.
Practical experience with SQL and NoSQL databases.
Experience with messaging systems such as Kafka and/or RabbitMQ.
Strong testing skills with JUnit, Mockito (and unit/integration testing practices).
Understanding of Java Memory Model (JMM) and Garbage Collection (GC).
Familiarity with build tools: Maven and/or Gradle.
Familiarity with Docker (containerization) and modern delivery practices.
Proficiency with Git and version control workflows.
Knowledge of information security principles and secure development practices.
Experience working with AWS (cloud-native services is a plus).
Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related technical field.
Will be a Plus
Exposure to DevOps tools such as Jenkins, Docker, and Kubernetes.
Knowledge of monitoring tools such as Prometheus and Grafana.
Responsibilities
· Design and develop high-quality Java-based applications.
· Create detailed technical specifications for applications.
· Troubleshoot and debug applications.
· Ensure applications meet performance and scalability requirements.
· Work closely with other teams to ensure the end product meets the client’s needs.
· Monitor application performance and provide optimization recommendations.
· Stay up to date with the latest technologies and industry trends.
Why this position:
Massive real-world impact: your work will drive changes used by ~18 million customers—few roles offer this scale.
Modern AWS-native engineering: you’ll work in a service-oriented architecture on AWS, leveraging managed services and new technologies rather than legacy-only stacks.
Enterprise-grade challenges: multi-database ecosystem, high availability, security, and performance requirements—great for building “big system” expertise.
Ownership and growth: a transformation environment where you can influence architecture, delivery standards, and how the platform evolves over time.
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