Own quality assurance for APIs, web apps, data pipelines, and AI-powered services by building and maintaining automated test frameworks. Collaborate with product engineering teams to plan testing, validate data quality, and test AI/ML features including model versions and agents. Ensure release reliability through CI/CD integration, production monitoring, and incident investigation.
Key Highlights
1-3 years of experience in QA or SDET with hands-on test automation
Focus on automating tests for REST/GraphQL APIs, UIs, data pipelines, and AI/ML features
Integrate tests into CI/CD pipelines to gate releases and monitor production quality
Key Responsibilities
Plan testing for each feature, including happy paths, edge cases, and negative cases
Build and maintain test automation for REST and GraphQL APIs, backend services, web UIs, and third-party partner APIs
Validate data pipelines and data quality by writing checks on pipeline outputs and defining data SLAs
Test AI and ML features by comparing model versions, validating shadow deployments, and testing AI agents
Keep tests running in CI/CD pipelines, triaging failures, and fixing flaky tests
Validate releases in preview, staging, and production environments
Monitor production quality by building synthetic checks, dashboards, and alerts
Investigate issues and incidents, reproduce problems, and write clear bug reports
Interested in remote work opportunities in QA & Testing? Discover QA & Testing Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Python
SQL
API Testing
Benefits & Perks
Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
13 paid holidays off
Summer Fridays
In-office lunches and free food
Optional in-person and virtual events
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to Have
Exposure to a public cloud (GCP, AWS or Azure) and containers
Testing data pipelines and orchestration tools (Airflow, dbt, Great Expectations, Elementary) or data warehouses (Snowflake, BigQuery)
Testing ML models or LLM-powered features
Testing AI agents or MCP servers
Observability and alerting tools (Datadog, Grafana, Cloud Monitoring, PagerDuty)
Performance and load testing (k6, Locust, JMeter)
Experience with ad tech, digital media or large third-party platform APIs
Frontend knowledge (React)
Security basics for test environments
Job Description
Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
