$ cat jobs/java-developer-ii-autoops-services-platform-applications-elastic-9ccc91b9e69c.json
Java Developer II - AutoOps Services - Platform Applications
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : We are looking for a skilled Java Engineer II to join our AutoOps team, where you'll dive into performance and optimization in a production environment. This position allows for flexibility in location, so you can be based nearly anywhere in Canada. As a member of the AutoOps Backend team, you will play key roles in developing features and designing systems. You will work with skilled professionals to influence the product's growth. You will also help define how our customers interact with their data. What You Will Be Doing : Write clean, maintainable Java code while adhering to industry best practices. Participate in code reviews to uphold quality standards and troubleshoot issues within existing software solutions. Integrate third-party APIs and conduct unit and integration testing to ensure reliability. Develop and implement the necessary business and infrastructure logic for the ELK stack. Implement RESTful services to enable effective system communication. Ensure data consistency and integrity throughout the integration process. Troubleshoot and resolve integration-related issues. Work closely with cross-functional teams to define integration requirements and develop strategies for integrating the ELK stack with various data sources. Tackling difficult issues, including performance or concurrency issues, and proposing solu
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