Top Tech Jobs & Startup Jobs

Own QA for an AI-native audience insights tool: validate chat/LLM intent and responses, troubleshoot data/schema issues with engineers, define test strategy, create documentation, and retest fixes.

Sole QA engineer responsible for validating an AI-native chat interface and LLM outputs, defining test strategy, documenting test plans, participating in daily scrums, troubleshooting backend data/schema issues with engineers, and retesting fixes.

Own QA for an AI-native audience insights tool: define testing strategy, validate chat/LLM accuracy and user intent interpretation, analyze data/schema issues with engineers, create test plans and documentation, and retest fixes.

Lead architecture and scaling of the enterprise data platform. Design and build serverless, production-grade data pipelines (Airflow, dbt, Python), integrate Fivetran, Redshift, and Sigma, implement observability and automated testing, and mentor engineers while driving governance and modernization.

Own the enterprise data platform roadmap and architecture. Build and modernize scalable, serverless data pipelines using Airflow, dbt, Python, and Fivetran. Design and optimize Redshift-based data models and Sigma analytics, implement observability and automated testing, and mentor engineers while driving data governance cross-functionally.

Lead architecture and modernization of the enterprise data platform. Build scalable serverless data pipelines with Airflow, dbt, Python, and AWS. Integrate Fivetran, Redshift, and Sigma, implement observability, enforce data governance, and mentor engineers to improve reliability and analytics deliverables.

Lead architecture and scaling of the enterprise data platform. Build and modernize serverless, production-grade data pipelines with Airflow, dbt, Python, and Fivetran. Optimize Redshift data warehouse and analytical datasets, implement observability and testing, and mentor data engineers while driving governance and cross-functional alignment.

Lead architecture and scalability of the enterprise data platform. Build and modernize serverless, production-grade data pipelines and integrations using Airflow, dbt, Python, and cloud services. Define data models, implement observability and testing, mentor engineers, and drive data governance across finance, product, and operations.

Build, enhance, and scale a cloud-native, multi-tenant SaaS platform across React frontend and C#/.NET Core backend. Design RESTful APIs, microservices, and AWS infrastructure, improve performance and reliability, mentor engineers, and collaborate with cross-functional teams to deliver high-availability solutions.

Lead architecture and scaling of the enterprise data platform. Build and modernize serverless, production-grade data pipelines (Airflow, dbt, Python), integrate tools like Fivetran and Redshift, implement observability and testing, mentor engineers, and drive data governance and cross-functional alignment for analytics and operational reporting.