Application Support Engineer

APEX Fintech Services•Dallas, TX

12h•Hybrid

About The Position

Apex Fintech Solutions is seeking a skilled, customer-oriented Application Support Engineer to join its production support team. The engineer serves as the primary escalation point for production issues, partners with engineering to resolve complex problems, and uses AI tooling and automation to reduce repetitive work. The role includes end-to-end ownership of escalated issues, major incident response, system monitoring, production access and configuration support, and clear communication with clients. The engineer also builds and maintains automations and reusable AI assets, verifies AI-generated output, collaborates on fixes and improvements, mentors newer engineers, and maintains operational documentation. The position works in a hybrid environment, with three days per week in the office. Participation in a shared on-call rotation is required, including nights, weekends, and market holidays.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
At least 3 years of experience in application support, preferably in financial services or a trading environment.
At least 2 years of experience in a customer-facing role.
Strong foundational knowledge of networking, Linux and Windows operating systems, and databases such as MSSQL and/or NoSQL.
Strong understanding of REST APIs, Google Cloud Platform, and microservices architecture.
Proficiency with SQL and NoSQL databases, including MSSQL, MongoDB, and Postgres.
Solid networking knowledge, including TCP/IP, DNS, and network security concepts.
Experience with Linux and Windows operating systems.
Strong scripting abilities in Python and PowerShell.
Practical skill with AI coding assistants, including breaking problems into workable prompts, iterating on output, and recognizing incorrect output.
Sound judgment about where automation is worthwhile and where a process should remain manual.
Excellent problem-solving and analytical skills, including the ability to troubleshoot complex technical issues.
Strong customer service orientation and ability to communicate technical concepts to non-technical audiences.
Ability to read and modify application code in a compiled language is preferred.

Nice To Haves

Experience with Claude Code.
Experience with observability and ticketing platforms such as Datadog, Jira, Zendesk, Confluence, and PagerDuty.
Familiarity with trading systems, financial markets, and regulatory requirements.
Application support experience in a financial services or trading environment.

Responsibilities

Serve as the escalation point for frontline support and own complex production issues from triage through resolution and client communication.
Participate in major incident response, providing impact analysis and actionable recommendations.
Monitor system performance and availability and resolve issues before they affect clients.
Manage production access and support configuration and change management activities.
Use AI tooling to accelerate investigations, including log analysis, data extraction, and issue reproduction.
Build and maintain automations and reusable AI assets that other engineers can run.
Validate AI-generated output before it reaches a client, a ticket, or production.
Collaborate with development teams on fixes and improvements, and mentor newer engineers.
Create and maintain runbooks, troubleshooting guides, and knowledge base articles.
Participate in a shared on-call rotation, including nights, weekends, and market holidays.