Systems Operations Engineer (Prod Support and Monitoring & Observability tools) - Only W2

Experience Required: 5+ yrs

Top skills required for this role:
1. Prod Support specific SQL and DB, Autosys,
2. Shell scripting, Linux command line operations
3. Observability tools (AppDynamics, 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, AppDynamics, 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 based 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 AppDynamics.
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.
Knowledge and understanding of test driven development practices.
Experience designing or developing training materials for complex technology systems, including those in Agile development settings.
Financial accounting tool experience is a plus.