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Senior Software Engineer - Python Fast API

  • Source: Njoyn
  • CGI
  • On-site
  • State of Karnataka, India
  • Full-Time
  • Senior

Job Description

Company Profile:
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: Python AI Developer
Position: Senior Software Engineer
Experience: 4- 7 Years
Category: Software Development/ Engineering
Shift: General Shift
Main location: India, Karnataka, Bangalore
Position ID: J0626-0710
Employment Type: Full Time
Education Qualification: Bachelor’s degree in Computer Science or related field or higher with minimum 4 years of relevant experience.
#LI-MP14

Your future duties and responsibilities

We are looking for an experienced Python Developer to join our team. The ideal candidate should be passionate about building scalable backend applications, developing efficient APIs, and creating robust, high-performance systems. You will work closely with our Devops, QA, and operations teams to deliver robust and scalable solutions that support our business objectives

Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI
Build secure, high-performance microservices architectures with proper validation, authentication, and error handling
Integrate backend services with GCP components such as BigQuery, Cloud SQL, GCS, Pub/Sub, and Cloud Composer
Develop and manage data ingestion, transformation, and processing pipelines
Implement event-driven architectures using Pub/Sub for asynchronous and real-time processing
Design and orchestrate workflows using Apache Airflow (Cloud Composer)
Work with structured and semi-structured data using Pandas, ensuring data quality and validation
Create and optimize SQL queries, schemas, and data models in BigQuery and Cloud SQL
Deploy and manage applications using Cloud Run, Docker, and container platforms
Implement CI/CD pipelines and follow DevOps best practices for automated deployments
Configure IAM roles, service accounts, secrets, and secure access controls
Monitor applications and pipelines, troubleshoot issues, and ensure system reliability
Write and maintain unit and integration tests using Pytest
Collaborate with cross-functional teams including data engineers, DevOps, and product teams
Participate in code reviews, enforce coding standards, and ensure high-quality deliverables

Required qualifications to be successful in this role

4–6 years of backend development experience
Strong proficiency in Python and FastAPI
Hands-on experience building RESTful APIs and microservices
Solid experience with Google Cloud Platform (GCP):

BigQuery
Cloud SQL
Google Cloud Storage (GCS)
Pub/Sub

Experience in data processing and transformation using Pandas
Strong knowledge of SQL and database design
Hands-on experience with workflow orchestration (Apache Airflow / Cloud Composer)
Experience implementing authentication, authorization, and API security
Familiarity with event-driven architectures and asynchronous processing
Experience with Docker and container-based deployments
Working knowledge of CI/CD pipelines and Git-based workflows
Experience writing unit and integration tests (Pytest)

Good-to-Have Skills

Experience with Cloud Run and serverless architectures
Exposure to hybrid or on-premises integrations
Experience working with Oracle Database
Knowledge of data quality frameworks and validation techniques
Familiarity with file formats such as Parquet and Avro
Experience with OpenShift or Kubernetes-based platforms
Understanding of IAM, service accounts, and security best practices on GCP
Exposure to monitoring and logging tools (Stackdriver / Cloud Monitoring)
Experience in building data platforms or analytics systems
Knowledge of performance tuning and optimization in BigQuery

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, r…

Skills

  • Python
  • FastAPI
  • google-cloud-platform
  • google-cloud-composer
  • Composer
  • Airflow
  • apache-airflow
  • Pandas
  • Docker
  • Pytest
  • google-cloud-storage
  • serverless
  • oracle
  • oracle-database
  • avro
  • apache-avro
  • Kubernetes
  • stackdriver
  • google-cloud-monitoring
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