Teams at 66degrees

Leads the design, development, and delivery of scalable full-stack applications using Python, Django, React, and GCP. Owns architecture across application, data, and integration layers; designs secure APIs; optimizes databases; deploys cloud-native systems; and drives security, performance, reliability, CI/CD, and production troubleshooting. Mentors developers, leads code reviews, establishes engineering standards, makes architectural decisions, and collaborates with product, QA, DevOps, and business stakeholders.

Lead quality assurance for complex GCP data engineering pipelines. Design and implement integration, regression, end-to-end, database, and data-quality testing across BigQuery, dbt, Dataflow, Dataproc, Cloud Run, and related services. Automate testing in CI/CD pipelines, provision test environments with infrastructure as code, validate pipeline outputs, monitor system health, and improve data quality practices. Collaborate with engineers and stakeholders, mentor junior QA staff, and champion testing standards.

Lead QA for complex Google Cloud data engineering pipelines. Design and execute integration, regression, end-to-end, database, API, and data-quality testing across ETL/ELT systems. Automate testing through CI/CD, provision reproducible environments with infrastructure-as-code, validate pipeline outputs and database functions, and monitor system health. Collaborate with data engineers and stakeholders, mentor junior QA staff, and improve data quality and testing effectiveness.