Top Senior Level Java Developer Jobs

The Sr Full Stack Developer will focus predominantly on backend development with significant experience in Java. They will also work with React for frontend components. The position requires strong coding skills, and the candidate should have a positive attitude and the ambition to transition into a full-time employee.

As a QA Automation Engineer Lead, you will manage the automation team, design and execute automated tests, maximize test coverage, and build/enhance test automation frameworks. You will also document processes, set up CI, and perform exploratory testing when necessary.

The Senior Platform Architect will design and implement solutions integrating Salesforce with Azure, focusing on performance, security, and scalability. The role involves modeling within the Azure platform and collaborating with teams to ensure the successful delivery of high-performance solutions. Responsibilities include managing Azure services, developing integration strategies, ensuring data integrity, and implementing security best practices.

The Senior Software Engineer will design and implement secure microservices, lead architectural development, mentor team members, and provide DevOps expertise. Responsibilities include implementing CI/CD practices, trouble-shooting issues, and integrating various systems using multiple technologies.

Provide 2nd level technical support to customers, collaborate with engineering and operations, reproduce issues, file bug reports, and analyze log files. Write knowledge base articles and participate in a 24x5 shift environment.

The Lead Cloud Engineer will design and architect a scalable cloud service platform for health products, collaborating with cross-functional teams to develop and optimize performance and reliability. This role involves leading technology development and contributing to product roadmaps.

The Engineering Lead will collaborate with various teams to deliver high-quality software products, manage a team, and lead the software development lifecycle. Responsibilities include overseeing AI applications, maintaining secure code, and staying updated with emerging technologies.