Back
Metro-based mid-level senior backend role with general title and notable employer brand increases competition.
Requires cloud-native GCP, BigQuery, and Python backend skills, making cross-industry fit moderately transferable.
Explicit years plus multiple mandatory technologies (FastAPI, GCP, BigQuery, Terraform) increases shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop scalable, cloud-native Python services and FastAPI APIs on Google Cloud Platform using serverless, event-driven, and microservices architectures.
Maintain and optimize complex data warehouse environments and data processing pipelines leveraging GCP services such as BigQuery, Cloud Functions, and Pub/Sub.
Mentor team members on Python best practices, cloud-native design, and oversee application support for ICOS systems.
Deep expertise in Python programming with strong understanding of design patterns and OOP.
4+ years of experience building high-performance FastAPI-based APIs.
Hands-on experience with Google Cloud Platform (GCP) services including serverless compute, containerization, and data processing.
Strong Oracle PL/SQL and relational database management system (RDBMS) knowledge.
Experienced in designing and operating cloud-native, event-driven data and application architectures within complex business and data warehouse environments.
Capable of leading technical design, code quality standards, and contributing to CI/CD pipeline and infrastructure-as-code implementation.
Has domain familiarity with indexing concepts and experience supporting or operating complex data warehouse ecosystems at mid-senior engineering level.