Application Owner Senior Software Engineer (GCP Python Big Query)

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 systems 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 systems 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