> Markdown version of [/jobs/ext/4289944-application-support-engineer-sql-database-focused](https://www.wearedevelopers.com/jobs/ext/4289944-application-support-engineer-sql-database-focused). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Support Engineer (SQL Database Focused) - **Company:** Eliassen Group - **Location:** Lake Mary, FL, United States - **Experience:** Expert - **Salary:** $156,000.0 - $176,800.0 - **Contract:** Contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Apache Tomcat, Server Applications, Microsoft Azure, Unix, Configuration Management, Continuous Integration, Software Debugging, Linux, DevOps, Monitoring of Systems, Java Web Services, Job Scheduling, Python (Programming Language), Log Analysis, Microsoft SQL Server, Object-Oriented Software Development, Performance Tuning, Reliability Engineering, Ansible, Microsoft Copilot, Shell Script, Software Engineering, SQL Stored Procedures, SQL Databases, Database Performance, Agentic-AI, AngularJS, Information Technology, Performance Monitor, Apache Kafka, Splunk, Appdynamics, Docker - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/46b93799-e350-4b02-8677-b03972d63bcd ## About the Role * Bachelor's degree in computer science or related discipline, or equivalent experience. Advanced degree preferred. * 8-10 years of related experience; financial services experience is a plus. * Technical engineering success with coding beyond simple scripts. Experience with Java, Angular, Kafka, and SQL. * Proficiency with Agile, DevOps, Site Reliability Engineering, and software development. * Familiarity with Amazon S3, AWS, Ansible, Docker, Linux, Microsoft Azure, Python, Splunk, AppDynamics, and AI. * Deep SQL Server analysis including performance tuning, deadlock identification, execution plan analysis, and debugging stored procedures and functions. * Ability to read and interpret Java code, including OOP concepts, exception handling, and basic debugging. * Understanding of job scheduling and configuration comprehension. * Familiarity with Unix/Linux, shell scripting, and application servers such as Tomcat. * Experience with monitoring tools to identify and track errors and partner with engineering on solutions. * Engagement with AI technology, ability to configure AI agents, and familiarity with in-depth prompts in Co-Pilot. Education Requirements: Bachelor's degree in computer science or related discipline, or equivalent work experience required; advanced degree preferred. ## Description Our client seeks an Application Support Engineer for the Depositary Receipts Platform Engineering team. The role focuses on production support, root cause analysis, performance monitoring, and continuous improvement across Java-based applications and SQL Server databases. The team collaborates with development and infrastructure partners to stabilize systems, implement fixes, and drive automation that improves reliability, scalability, and customer experience., * Diagnose and resolve technical issues in production environments with strong analytical and problem-solving skills. * Conduct root cause analysis for recurring issues and implement permanent solutions. * Collaborate with development, infrastructure, and stakeholders to resolve complex issues and implement fixes. * Monitor application and database performance, identify bottlenecks, and perform maintenance to ensure stability. * Create and maintain documentation for troubleshooting procedures, knowledge articles, and incident reports. * Communicate effectively with teams and stakeholders. * Analyze logs, code, and database performance metrics with attention to detail. * Work in a fast-paced environment and adapt to changing priorities and technologies. * Identify opportunities to automate repetitive tasks and implement scripts or tools to improve efficiency. * Improve and protect software and systems for scalability, availability, latency, performance, security, and capacity. * Continuously improve operational support and resolve end-to-end customer friction points. * Understand the technical ecosystem to recognize systemic interrelationships and identify gaps. * Apply DevOps-centric automation tools and technologies for CI/CD, configuration management, and sustainable scaling.