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# Sr Java Developer

- **Company:** ApTask
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Cloud Computing, Databases, Data Structures, Software Debugging, DevOps, File Systems, Memory Management, Java Virtual Machine (JVM), Java Web Services, Spring Framework, NoSQL, Performance Tuning, Scrum Methodology, Query Optimization, Software Engineering, SQL Databases, Multithreading, Enterprise Software Applications, Concurrency, Spring-boot, Vue.js, AngularJS, Kubernetes, Front End Software Development, Restful APIs, Serverless Computing, Docker, Microservices
- **Published:** October 6, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=4ujdnwqsdebu7m13em5f0pt5dw80o500d7dv9cbq5ebzngb7yk0n43mjtefnbx0d&compid=0/jobs/29419655#/jobs/29419655

## About the Role

We are seeking an experienced Senior Java Developer with strong expertise in Core Java, Spring Boot, Microservices, and Cloud technologies. The ideal candidate will have hands-on experience in designing, developing, and optimizing enterprise-level applications with a focus on scalability, performance, and security., * Strong proficiency in Core Java, Multithreading, Collections, and JVM internals (GC, deadlocks, memory management).

 * Hands-on experience with Spring Boot, REST APIs, and Microservices architecture.
 * Solid understanding of data structures, immutability, concurrency, and thread safety.
 * Experience with SQL/NoSQL databases and query optimization.
 * Knowledge of cloud platforms (AWS preferred), Kubernetes, Docker, and DevOps practices.
 * Familiarity with frontend technologies (Angular/Vue.js) is a plus.
 * Strong problem-solving and debugging skills, especially in handling large files, big data, and performance issues.

## Description

* Design, develop, and maintain Java-based applications using Spring Framework, Spring Boot, and Microservices.
 * Review peers' code and ensure adherence to best practices, clean coding standards, and performance optimization.
 * Implement efficient data structures, collections, and concurrency mechanisms.
 * Work with large datasets, optimize memory usage, and handle file processing at scale.
 * Ensure security and compliance when integrating external libraries and APIs.
 * Collaborate with database teams to design queries, optimize performance, and integrate SQL/NoSQL databases.
 * Contribute to cloud-native application development using AWS, Kubernetes, and serverless (Lambda).
 * Participate in Agile/Scrum ceremonies and support production systems as needed.