Application Support Engineer (SQL Database Focused)

Eliassen Group

Florida

Hybrid

USD 103,000 - 117,000

Full time

4 days ago
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Job summary

Eliassen Group is seeking an Application Support Engineer for the Depositary Receipts Platform Engineering team in Lake Mary, FL. The role focuses on production support, root cause analysis, performance monitoring, and automation to improve reliability and customer experience.

The position is a contract-to-hire on a hybrid model (4 days onsite). Requires 8–10 years of experience, with strong Java, Angular, Kafka, and SQL skills, plus proficiency in DevOps practices and various tools.

Qualifications

  • Bachelor’s degree in computer science or related discipline, or equivalent experience.
  • 8-10 years of related experience; financial services experience is a plus.
  • Experience with Java, Angular, Kafka, and SQL.
  • Familiarity with Agile, DevOps, Site Reliability Engineering, and software development.
  • Familiarity with AWS, Ansible, Docker, Linux, Azure, Python, Splunk, AppDynamics, and AI.
  • Deep SQL Server analysis including performance tuning, deadlock identification, execution plan analysis, and debugging stored procedures and functions.

Responsibilities

  • 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.

Skills

Java
Angular
Kafka
SQL

Education

Bachelor’s degree in Computer Science

Tools

AWS
Ansible
Docker
Linux
Azure
Python
Splunk
AppDynamics
AI

Job description

Description:

Hybrid 4 days onsite in Lake Mary, FL

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.

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $85.00/hr. w2

Responsibilities:
  • 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.
Experience Requirements:
  • 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.

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