We are recruiting for one of Our UK Based MNC Client. Please let me know if you are interested in moving forward and share below details asap
Heres a detailed Job Description for a Python Lead / Architect with 8+ years of experience and mandatory skills in Python, Django, Flask, API development, PySpark, and GCP (Google Cloud Platform) :
Job Title : Python Lead / Python Architect
Location : [Hybrid Pune]
Experience Level : 10-15 Years(8+ Years in Python)
Department : Software Engineering / Cloud Data Platforms
Job Type : Full-Time
Job Summary :
We are looking for a highly experienced Python Lead / Architect to spearhead the design and development of scalable backend solutions and cloud-based data platforms. The ideal candidate has extensive expertise in Python, Django, Flask, API development, and PySpark, with deep knowledge of Google Cloud Platform (GCP) services. You will play a key role in architecting robust, efficient, and secure systems to support business-critical applications and big data processing.
Key Responsibilities :
- Lead the architecture, design, and development of backend systems using Python (Django / Flask).
- Architect and build scalable RESTful APIs and microservices.
- Design distributed data processing solutions using PySpark on GCP.
- Drive the adoption of best practices in code quality, testing, and performance optimization.
- Integrate cloud-native services from Google Cloud Platform (BigQuery, Cloud Functions, Dataproc, Pub / Sub, etc.).
- Collaborate with cross-functional teams including DevOps, Data Engineering, and Product teams to deliver reliable and secure solutions.
- Conduct code reviews, mentor junior engineers, and establish development standards.
- Translate complex business requirements into technical designs and scalable architectures.
- Ensure platform scalability, observability, and high availability in production environments.
Required Skills & Qualifications :
8+ years of hands-on software development experience, with a strong focus on Python.Expertise in Django and Flask frameworks for backend development.Proven experience in API development and designing scalable RESTful services.Strong experience with PySpark for large-scale data processing.Solid understanding and practical experience with Google Cloud Platform (GCP).Proficiency with version control systems (e.g., Git), CI / CD pipelines, and containerization (Docker / Kubernetes).Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery).Strong problem-solving, architectural design, and analytical skills.Excellent communication and leadership abilities.Preferred Qualifications :
GCP Certification (e.g., Professional Cloud Architect or Data Engineer).Experience with data orchestration tools like Apache Airflow.Knowledge of security best practices in API and cloud deployments.Exposure to machine learning pipelines and model serving is a plus.Education :
Bachelors or Masters degree in Computer Science, Engineering, or related field.ref : hirist.tech)