Application Operations Engineer (W2 only)

Role: Application Operations Engineer

Duration: 11+ Months

Work Location: Remote

Required Skills:

• Strong SQL skills (complex queries/joins; performance awareness) across Oracle/Cloudera/DataStax or similar platforms.
• Hands-on Linux/UNIX operations and shell scripting for troubleshooting and maintenance/automation.
• Experience with Kafka/Confluent and common integration/data movement patterns (topics, consumers, validation).
• Experience supporting multi-environment application operations (DEV/SIT/CAT/PROD) across on-prem and cloud.
• Proficiency with ServiceNow (incidents/requests) and ability to manage vendor support escalations effectively.
• Monitoring/log analysis experience with Splunk Enterprise; familiarity with AppDynamics/Neustar and cloud monitoring a plus.
• Working knowledge of Agile delivery and tools such as VersionOne and ALM platforms.
• Ability to produce/maintain technical documentation (architecture diagrams, network specs, NCRB artifacts).
• Strong communication/facilitation skills; able to lead incident bridges and coordinate stakeholders under pressure.

KEY RESPONSIBILITIES:

• Lead cross-team coordination to keep DEV/SIT/CAT environments available, stable, and release/test ready.
• Manage environment change activities (configuration, refreshes, access, deployments) following governance/compliance processes.
• Create and manage ServiceNow requests/incidents through closure; open/track vendor support cases (e.g., Google, Oracle) and drive timely resolution.
• Coordinate patching, vulnerability remediation, and system upgrades with security/infrastructure teams; track schedules, testing, and risks/escalations.
• Own critical incident management for high-severity outages (triage, communications, restoration, post-incident actions).
• Maintain key technical artifacts: architecture diagrams, system/network specs, and NCRB documentation; ensure accuracy and currency.
• Ensure effective monitoring/alerting (ESM coordination; Splunk dashboards/alerts), analyze trends, and improve reliability.
• Identify and implement automation/AI-assisted improvements, and drive cloud/supplier cost optimization recommendations.