About the Company
Our client is a global digital transformation leader with a presence in over 50 countries. Specializing in Oracle Cloud, automation, data intelligence, and enterprise consulting, they help businesses modernize their systems and accelerate innovation at scale
Job Title : Senior Python Developer – GCP
Experience : 5+ years
Location : [Hyderabad]
Employment Type : Full-time
About the Role
We are seeking an experienced Python Developer with strong expertise in Google Cloud Platform (GCP) and AI / ML technologies to design, develop, and deploy scalable data-driven solutions. The ideal candidate will have hands-on experience in building backend services, integrating AI models, and leveraging GCP’s managed services (Vertex AI, BigQuery, Pub / Sub, Cloud Functions, etc.) to deliver high-impact products.
Key Responsibilities
- Design, develop, and maintain scalable backend systems and APIs using Python (FastAPI, Flask, Django).
- Build and deploy machine learning models using Vertex AI , TensorFlow , PyTorch , or scikit-learn .
- Develop and automate data pipelines using Cloud Dataflow , Pub / Sub , and BigQuery .
- Integrate AI services (e.G., Gemini , Vertex AI APIs , Vision API , Natural Language API ) into production applications.
- Implement CI / CD pipelines using Cloud Build , Cloud Run , and Kubernetes (GKE) .
- Collaborate with data scientists, ML engineers, and DevOps teams to optimize performance and scalability.
- Write clean, efficient, and testable code with strong focus on reliability and performance.
- Monitor, troubleshoot, and improve system reliability using Stackdriver , Cloud Logging , and Cloud Monitoring .
Required Skills & Qualifications
5+ years of experience as a Python Developer in production-grade environments.Strong experience with GCP services (Cloud Functions, BigQuery, Pub / Sub, Vertex AI, Cloud Storage, etc.).Experience building and deploying machine learning or AI-powered solutions.Solid understanding of RESTful APIs , microservices architecture , and asynchronous programming .Proficiency in Git , Docker , Kubernetes , and CI / CD pipelines .Experience with SQL / NoSQL databases (BigQuery, Firestore, PostgreSQL).Familiarity with data engineering tools (Airflow, Dataflow, or Beam) is a plus.Strong problem-solving skills, analytical thinking, and ability to work in cross-functional teams.