Systems Operations Engineer

• Participate in complex technical issues and initiatives related to large scale applications, systems, databases, or other technical products and services
• Identify opportunity for process improvements within technical support strategies and plans
• Review and analyze technical queries to extract data, create standard databases, or perform limited programming to fine tune systems supporting low to medium risk technical deliverables
• Present recommendations for resolving complex technical queries
• Exercise some independent judgment to analyze performance trends and recommend process improvements while developing understanding of technical process controls or standards
• Work as an internal consultant regarding use of tools and processes
• Provide information related to supported system area to functional colleagues, internal partners and stakeholders, including internal customers
• Provide hands-on production support for enterprise monitoring, batch management, scheduling, and observability platforms in line with ITIL service operations
• Ensure platforms meet defined availability, reliability, and performance objectives, excluding approved maintenance windows
• Drive incident management activities including triage, escalation, coordination, remediation, and post-incident reviews
• Contribute to problem management by identifying recurring issues and driving root-cause fixes
• Execute change management activities such as configuration changes, and platform enhancements following standard controls
• Proactively monitor platform health and identify risks to stability, capacity, or performance
• Apply an SRE mindset by identifying opportunities for automation, self-service, and toil reduction
• Strengthen observability practices through effective use of metrics, logs, dashboards, alerts, and synthetic monitoring
• Create, maintain, and enhance runbooks and playbooks to improve mean time to detect (MTTD) and mean time to restore (MTTR)
• Participate in on-call rotations and provide timely response and ownership during production incidents
• Knowledge and experience of Agentic AI and Data

2+ years of Systems Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Hands-on experience supporting enterprise application platforms in the areas of monitoring, scheduling, or observability (e.g., Autosys, Grafana, Splunk, Thousand Eyes, or equivalent)
• Strong understanding of ITIL processes, including incident, problem, and change management
• Proven ability to triage complex production issues, perform root cause analysis, and drive issues to closure
• Solid understanding of SRE and reliability engineering concepts, including observability, error budgets, and automation
• Ability to operate independently with a strong ownership and accountability mindset
• Effective communication skills to work across global teams and time zones