Technical Testing Analyst

Design and build enterprise-grade connectors for varied data sources.

Implement access-control policies that prevent unauthorized data exposure during search queries.

Create unit and integration tests for document extraction, classification, and ingestion pipelines.

Partner with senior engineers to design, test, and improve enterprise search and retrieval pipelines.

Architect AI-native data infrastructure and high-performance processing frameworks that convert multi-format enterprise data into AI-ready assets with governance, quality, lineage, and observability.

Recently completed a Bachelor’s or Master’s degree in Computer Science or a related Engineering field.

• 3–6 years of relevant work experience.
• Strong proficiency in Python, Golang, or modern backend engineering technologies.
• Exposure to vector databases, enterprise storage solutions, REST APIs, Retrieval-Augmented Generation architectures, and identity-aware search and retrieval systems.
• Solid foundation in data structures, enterprise-grade security standards, and Git-based version control.
• Familiarity with regex pattern matching, entity-recognition libraries such as spaCy, MedSpaCy, and NLTK, and techniques for validating sensitive data types is preferred.
• Self-motivated, growth-oriented, and eager to be mentored by technical leaders.

Hybrid work arrangement with at least three onsite days per week where the workplace policy applies; Very mild travel requirements.

Medical, financial, and other benefits, including 401(k) eligibility.

Paid time off including vacation, sick time, and parental leave.

Potential eligibility for sign-on bonuses, restricted stock units, and discretionary awards.