About Client :
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title : Senior Python Architect
Experience Level : 9-20 Years
Job Location : Hyderabad
Job Type : Contract
Work Mode : Hybrid
Notice Period : Immediate Joiners
Client : CMMI Level 5
Job Description : Role Overview
As a Python Architect supporting Google, you’ll lead the design and development of scalable, cloud-native solutions using Python. You’ll collaborate with cross-functional teams to architect systems that power high-impact products, ensuring performance, security, and innovation at every layer.
Key Responsibilities
- Architect and implement distributed systems using Python and modern frameworks (FastAPI, Flask, Django).
- Design microservices and APIs optimized for Google Cloud Platform (GCP).
- Collaborate with product managers, engineers, and data scientists to translate business needs into technical solutions.
- Ensure code quality, scalability, and performance through architectural reviews and best practices.
- Lead technical discussions, mentor developers, and drive continuous improvement.
- Integrate CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code.
Required Skills
8+ years of experience in Python development, with 3+ years in architectural roles.Expertise in Python frameworks (FastAPI preferred), RESTful API design, and asynchronous programming.Strong experience with GCP services (Cloud Functions, Pub / Sub, BigQuery, Vertex AI).Familiarity with DevOps tools : Docker, Kubernetes, Terraform, Jenkins.Experience with scalable data pipelines, caching strategies, and performance tuning.Solid understanding of security, authentication (OAuth2, JWT), and compliance.Preferred Qualifications
GCP Professional Cloud Architect certification.Experience with AI / ML integration using Python (TensorFlow, PyTorch).Background in high-availability systems and real-time data processing.Familiarity with Google’s internal tools and engineering culture (a plus).Soft Skills
Exceptional communication and stakeholder management.Strategic mindset with a bias for action and innovation.Ability to thrive in a fast-paced, collaborative environment.