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Job Description: Senior Full-Stack Python (AI & GCP)
United States · 31 minutes ago · 28 applicants
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Senior Full-Stack Python (AI & GCP)
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Job Title: Senior Full-Stack Python (AI & GCP)
Location: 100% Remote


MUST HAVE: 

Full stack Python and AI/ ML and GCP!


Job Overview;

seeking a Senior Full-Stack Python Engineer with strong hands-on experience in data engineering, AI/ML-driven solutions, and Google Cloud Platform (GCP). This role focuses on building scalable, cloud-native applications, data pipelines, and AI-enabled microservices that support data-driven business initiatives.
The ideal candidate is highly proficient in Python full-stack development, experienced in large-scale data processing, and comfortable integrating AI/ML capabilities into production systems.


Key Responsibilities:

Full-Stack Development
• Design, develop, and maintain scalable Python-based applications using Django, FastAPI, and RESTful APIs.
• Build secure, high-performance backend services and microservices.
• Collaborate with cross-functional teams to deliver end-to-end solutions.


Data Engineering & Pipelines:

• Develop and optimize large-scale data pipelines and ETL workflows processing millions to terabytes of data.
• Use PySpark, Pandas, SQL, and Airflow for data ingestion, transformation, validation, and orchestration.
• Ensure data quality, performance optimization, and reliability in enterprise environments.


AI / ML Enablement:

• Integrate AI/ML models into backend systems and APIs.
• Support NLP-based data processing, anomaly detection, and AI-enabled automation.
• Build and deploy AI-driven microservices in cloud environments.


Cloud & DevOps (GCP Focused):

• Build and manage cloud-native solutions primarily on Google Cloud Platform (GCP).
• Work with BigQuery, Cloud Storage, and related GCP services for analytics and reporting.
• Support AWS services where needed in hybrid cloud environments.
• Implement best practices for scalability, security, and performance.


Required Skills & Qualifications

• 8+ years of hands-on experience in Python full-stack development.
• Strong expertise in Python, Django, FastAPI, REST APIs.
• Solid data engineering experience using Pandas, PySpark, SQL.
• Proven experience building and maintaining ETL pipelines and large-scale data workflows.
• Strong hands-on experience with GCP (BigQuery, Cloud Storage).
• Experience integrating AI/ML models into production systems.
• Experience with workflow orchestration tools such as Airflow.
• Strong understanding of cloud-native architectures and microservices.


Preferred / Nice-to-Have:

• Experience with AWS services.
• Exposure to MLOps, model deployment, or AI automation frameworks.
• Front-end exposure (React or similar) is a plus.
• Experience working in fully remote, distributed teams