GCP

We are seeking a highly skilled professional with expertise in Google Cloud Platform (GCP), App Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure smooth transition and continuity from the current resource. This role requires a mix of strong technical expertise and application ownership mindset-someone who can understand the application end-to-end, support ongoing operations, optimize performance, and drive enhancements. Key Responsibilities - Take full ownership of an existing cloud-native application hosted on GCP App Engine and Data Store. - Collaborate with the current resource to understand the system's design, data model, integrations, and dependencies. - Maintain and enhance application workflows written in Python, ensuring code quality, scalability, and performance. - Design, develop, and optimize queries and analytics using BigQuery for reporting and data insights. - Manage deployments, monitoring, and troubleshooting in Google Cloud Platform (GCP). - Identify opportunities for improvements in architecture, cost optimization, and automation. - Ensure application uptime, performance, and reliability, including support for production incidents. - Act as the single point of accountability for the application, liaising with stakeholders, business users, and other technical teams. Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) services, particularly: • App Engine (application deployment, scaling, monitoring) • Cloud Datastore / Firestore (data modeling, indexing, query optimization) • BigQuery (ETL, complex queries, performance tuning) - Proficiency in Python for backend development, data processing, and scripting. - Good understanding of application integration patterns, APIs, and data pipelines. - Ability to analyze existing systems quickly, document them, and propose enhancements. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills to work with business and technical stakeholders. Preferred Qualifications - Experience with GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub. - Familiarity with DevOps practices and CI/CD pipelines on GCP. - Background in application ownership/transition, including knowledge transfer from existing teams Requirements Role Overview We are seeking a highly skilled professional with expertise in Google Cloud Platform (GCP), App Engine, Data Store, Python, and BigQuery. The candidate will take ownership of an existing application, gaining a deep understanding of its architecture, workflows, and data pipelines, and ensure smooth transition and continuity from the current resource. This role requires a mix of strong technical expertise and application ownership mindset-someone who can understand the application end-to-end, support ongoing operations, optimize performance, and drive enhancements. Key Responsibilities - Take full ownership of an existing cloud-native application hosted on GCP App Engine and Data Store. - Collaborate with the current resource to understand the system's design, data model, integrations, and dependencies. - Maintain and enhance application workflows written in Python, ensuring code quality, scalability, and performance. - Design, develop, and optimize queries and analytics using BigQuery for reporting and data insights. - Manage deployments, monitoring, and troubleshooting in Google Cloud Platform (GCP). - Identify opportunities for improvements in architecture, cost optimization, and automation. - Ensure application uptime, performance, and reliability, including support for production incidents. - Act as the single point of accountability for the application, liaising with stakeholders, business users, and other technical teams. Required Skills & Experience - Strong hands-on experience with Google Cloud Platform (GCP) services, particularly: • App Engine (application deployment, scaling, monitoring) • Cloud Datastore / Firestore (data modeling, indexing, query optimization) • BigQuery (ETL, complex queries, performance tuning) - Proficiency in Python for backend development, data processing, and scripting. - Good understanding of application integration patterns, APIs, and data pipelines. - Ability to analyze existing systems quickly, document them, and propose enhancements. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills to work with business and technical stakeholders. Preferred Qualifications - Experience with GCP IAM, Cloud Functions, Cloud Storage, or Pub/Sub. - Familiarity with DevOps practices and CI/CD pipelines on GCP. - Background in application ownership/transition, including knowledge transfer from existing teams Skills: Google Cloud Platform

Created: 2026-03-04