Live opening · Posted 20 days ago
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Role Overview
We're looking for three Observability Engineers to design and implement application- and process-level observability for Oracle Watchlist Screening (OWS). You'll build the dashboards, alerts, notifications, and anomaly-detection capabilities that let Engineering know — in real time — whether critical screening processes and their supporting integrations are healthy.
Minimum Qualifications
5+ years of experience in software engineering, data engineering, application monitoring, or observability
Hands-on experience with Oracle Watchlist Screening (OWS)
Proficient in Python, TypeScript, Java, or a similar programming language
Experience working with databases, APIs, data pipelines, and system integrations
Strong analytical, troubleshooting, and technical documentation skills
Able to work hours that overlap with US Pacific Time stakeholders
Responsibilities
Monitor real-time and batch screening volumes, throughput, failures, retries, backlog, and latency
Identify failed or long-running screening activity and processing bottlenecks
Monitor Dow Jones file processing for data freshness, completeness, and ingestion failures
Track data as it moves through standardization, tokenization, clustering, business rules, and screening readiness
Monitor OWS integrations with SFDC, Pelican, Snowflake, and other prioritized applications
Monitor alert creation, status changes, aging, disposition, and closure
Build executive and operational health dashboards
Define SLIs, SLOs, baselines, thresholds, and severity levels with Engineering
Configure notifications for critical failures, processing delays, data issues, and integration failures
Document dashboards, metrics, alerts, system gaps, and operational processes
Complete production validation, knowledge transfer, and final handoff
Out of scope: AWS infrastructure monitoring (server uptime, CPU, memory, disk, network).
Primary Skills (Must-Have)
Oracle Watchlist Screening (OWS)
Application & process-level observability / monitoring
Dashboard and alert development
Python, TypeScript, or Java
Data pipelines, APIs, and system integrations
Anomaly detection
Troubleshooting distributed applications and data integrations
Secondary Skills (Preferred)
Salesforce (SFDC)
Snowflake
Defining SLIs/SLOs and monitoring baselines
Technical documentation and runbook authoring
Work arrangement
No
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