Work Location: Chicago - Hybrid (Hybrid work: Tues-Thurs in the office. Monday & Friday remote)
Work Schedule: Normal CST business hours, Monday to Friday
Role Overview
We are seeking detail-oriented individuals to support the Search Log Quality (SLQ) systems through a combination of system monitoring, technical debt reduction, and quality assurance. You will play a critical role in maintaining the health of our logging infrastructure, resolving visual element ownership, and helping to reduce the tech debt in our codebase.
Key Responsibilities
Responsibilities may vary according to the designated track; however, the following tasks are representative of the role:
SLQ Monitoring & Triage: Perform first-level triage for system errors, maintain and enhance SLQ monitors, and conduct audits to standardize filtering.
Visual Elements (VE) Maintenance: Resolve ownership staleness bugs, update metadata/screenshots for active VEs, and identify/cleanup unused tags.
Infrastructure & Code Migration: Assist in migrating logging code to new frameworks (e.g., log routing), refactoring C++ logic, and transitioning frontend tools from React to Boq Wiz.
Quality & AI Verification: Validate AI-generated boilerplate code and VE suggestions, and conduct human evaluations for internal tools like Seeker and Sherlog.
Documentation: Analyze documentation gaps by grouping common technical questions and creating "canonical bug" collections for training.
Candidate Requirements
To be considered for this role, applicants must possess the following foundational qualifications:
A Bachelor’s degree or a comparable level of practical professional experience.
At least 3 years of software development experience using one or more languages (or 1 year for those with an advanced industry-related degree).
2 years of applied or academic experience working with algorithms and data structures.
Desired Technical Background
Advanced proficiency in SQL and Go.
Practical coding experience with at least one of the following: Java, C++, or Kotlin.
Understanding of distributed systems, RPC infrastructure, multi-threading, and asynchronous programming.
Proven ability to troubleshoot and identify root causes for production-level issues.
Professional & Interpersonal Skills
Excellent communication and cross-functional collaboration abilities.
Resourceful approach to problem-solving in high-velocity environments.
A proactive mindset and enthusiasm for learning