Job Description
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, andperformance.
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 teamsRequirements
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 DataStore.
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, andperformance.
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