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Systems Operations Engineer

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: Omni Inclusive
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below

Finance Applications Production Support Role

Top skills required for this role:

  • Prod Support specific SQL and DB, Autosys
  • Shell scripting, Linux command line operations
  • Observability tools (App Dynamics, Grafana, Splunk, Prometheus, ITRS)

Tech skills primary:

  • Excellent with SQL queries, DB usage & understanding (Oracle)
  • Linux commands, Shell scripts, Autosys
  • Working knowledge of Observability tools such as Splunk, Grafana, Prometheus, App Dynamics, Production support tools

Role:

Finance applications, Production support involving upstream and downstream data pipelines queries, follow-ups on systems, Linux-based commands check, Observability tools-based incident fixes & avoidance, Batch processing, Openshift workloads support, Data private cloud support.

Prior banking client experience is a huge plus.

Expectations for this role:

  • Work on complex, broad impact initiatives/projects/issues and provide high-level systems consultation to technology teams.
  • Review, analyze, and work on complex technical challenges and escalated production issues, evaluating multiple factors such as potential design alternatives, platform enhancements, periodic system reviews, and opportunities for operational improvement.
  • Make decisions on technical changes, system enhancements, and architectural adjustments.
  • Consult with engineering teams on change design, applying deep knowledge of process controls, operational standards, and technology governance to guide new initiatives.
  • Collaborate with technical peers, cross-functional partners, and leadership to resolve systems support issues and drive operational excellence.
  • Leverage AI-enhanced observability, anomaly detection, and intelligent alerting tools to improve root cause analysis, reduce noise, and optimize system performance.
  • Utilize AI-assisted troubleshooting tools and automation frameworks to streamline incident resolution and operational workflows.
  • Incorporate predictive analytics and AIOps insights into planning, capacity management, and continuous improvement efforts.

Qualifications:

  • 5+ years of Systems Engineering or Technology Architecture experience.
  • 5+ years of application production support experience.
  • 5+ years of experience in IT infrastructure product and service control management, including policies and standards, business readiness, exceptions management, or alignment with enterprise compliance and risk frameworks.
  • 5+ years of experience working with SQL Server, Oracle, MySQL, Unix, Autosys, ITRS, and App Dynamics.
  • Hands-on experience with AI-driven monitoring, AIOps platforms integrated into production support environments.
  • Experience utilizing generative AI or LLM-based tools to assist with diagnostics, system pattern analysis, documentation, or triage workflows.
  • An industry-standard technology certification.
  • Strong verbal, written, and interpersonal communication skills.
  • Knowledge and understanding of test driven development practices.
  • Experience designing or developing training materials for complex technology systems, including those in Agile development settings.
  • Experience designing, developing, and implementing large-scale, complex software applications.
  • Outstanding problem-solving and decision-making skills.
  • Strong critical thinking capabilities.
  • Financial accounting tool experience is a plus.
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