Python Developer

Job Title: Backend Developer

Location: Remote

Experience: 4–8 Years

Employment Type: Full-time

Role Summary:

Backend Developer

Key Responsibilities:

• Design, develop, and maintain RESTful APIs and backend services using

  Flask

  .
• Deploy, manage, and monitor applications on

  Google Cloud Platform (GCP)

  using tools like Cloud Run, App Engine, or Cloud Functions.
• Design and optimize database schemas in

  PostgreSQL

  and

  Firestore

  , including handling vector-based queries.
• Implement best practices for

  data modeling

  ,

  query optimization

  , and

  indexing

  .
• Ensure high system performance, scalability, and reliability.
• Implement

  authentication and authorization

  mechanisms (JWT/OAuth2).
• Collaborate with frontend developers, DevOps, and data engineers to integrate APIs and services.
• Write

  unit and integration tests

  to ensure robust and maintainable code.
• Monitor system performance, troubleshoot production issues, and perform root-cause analysis.
• Participate in code reviews and contribute to continuous improvement of development processes.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of hands-on backend development experience with

  Python (Flask)

  .
• Proven experience deploying and managing applications on

  Google Cloud Platform (GCP)

  .
• Strong understanding of

  PostgreSQL

  , including

  vector tables

  and

  query optimization

  .
• Experience with

  Google Firestore

  (document-based database).
• Solid understanding of

  RESTful API design principles

  .
• Experience with

  API authentication

  ,

  rate limiting

  , and

  secure data handling

  .
• Knowledge of

  Docker

  ,

  CI/CD pipelines

  , and cloud monitoring tools.
• Familiarity with

  asynchronous processing

  (Celery, Pub/Sub, etc.) is a plus.
• Strong debugging, problem-solving, and analytical skills.

Good to Have:

• Experience with

  machine learning vector embeddings

  in PostgreSQL.
• Exposure to

  microservices architecture

  and

  event-driven design

  .
• Familiarity with

  Firestore triggers

  ,

  Cloud Functions

  , or

  Cloud Pub/Sub

  .
• Working knowledge of

  Terraform

  or

  Infrastructure as Code (IaC)

  for GCP.