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Popular backend title, mid-level (2–4 yrs), Bangalore location, generalist tech stack; competition therefore high.
Core backend skills portable across industries, GIS and Airflow familiarity slightly increase domain specificity.
Explicit 2–4 years requirement and mandatory Python, PostgreSQL/PostGIS, MongoDB, Airflow, and GCP familiarity.
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Develop and maintain scalable, high-performance backend systems using Python (Flask) and SQL.
Design and build REST APIs with architectural decision-making and trade-off evaluation.
Collaborate with cloud infrastructure using Google Cloud Platform services and integrate with MongoDB, Airflow, and Nginx.
2–4 years of relevant backend development experience.
Proficient in Python (Flask) and SQL (PostgreSQL, PostGIS).
Experience with MongoDB, Airflow, Nginx, and cloud services on Google Cloud Platform including Cloud Functions, Cloudbuild, Cloud Storage, Cloud SQL, Cloud Logging, and Cloud Monitoring.
Work Location: Bengaluru, India (Work-from-Office).
Comfortable working with GIS data concepts and spatial databases (PostGIS).
Able to make informed architectural choices and handle trade-offs in backend API design.
Experience in cloud-native application development, preferably with Kubernetes and GCP.