Senior Python Developer AI & Cloud Platform Engineer

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Senior Python Developer / AI & Cloud Platform Engineer

Location: Hybrid (US)
Experience: 8 12 Years
Employment Type: Contract / Contract-to-Hire / Full-Time

Job Summary

We are seeking a Senior Python Developer / AI & Cloud Platform Engineer to design build and scale cloud-native data-driven and AI-enabled enterprise applications. This role requires deep backend engineering expertise in Python modern frontend exposure strong cloud and DevOps skills and hands-on experience with data pipelines ML/AI systems and event-driven architectures.

You will work across microservices data platforms AI/ML pipelines CRM and contact center systems and real-time applications delivering highly available secure and scalable solutions.

Key Responsibilities Backend & API Development

Design and develop scalable backend services using Python Django FastAPI and Flask.
Build and maintain REST GraphQL and WebSocket APIs with robust validation authentication and error handling.
Implement asynchronous processing using asyncio Celery Kafka RabbitMQ SQS and EventBridge.
Optimize performance schema design and query tuning across PostgreSQL MySQL MongoDB Redis DynamoDB Oracle and SQL Server.

Cloud & Distributed Systems

Architect and deploy microservices on AWS and Azure including Lambda EC2 S3 RDS Aurora API Gateway EMR Glue Elastic Beanstalk Azure Functions App Service and Data Factory.
Design event-driven and serverless architectures with auto-scaling fault tolerance and disaster recovery.
Implement Infrastructure as Code using Terraform CloudFormation and Ansible.

Data Engineering & ML/AI

Build and manage data pipelines using PySpark Databricks Airflow DBT NiFi Pandas NumPy.
Train evaluate and deploy ML models using Scikit-learn TensorFlow PyTorch and SageMaker.
Develop AI-powered solutions including LLM integrations (Gemini GPT Llama) RAG pipelines OCR NLP and computer vision.
Implement real-time and batch analytics using BigQuery EMR Spark Kafka and Cloud Storage.

DevOps Observability & Security

Build CI/CD pipelines using Jenkins GitHub Actions Azure DevOps SonarQube.
Containerize and orchestrate applications with Docker and Kubernetes.
Implement monitoring and logging using CloudWatch X-Ray OpenTelemetry ELK Stack Grafana.
Enforce security standards: OAuth 2.0 JWT SSL/TLS SSO OWASP IAM secrets management encryption and compliance controls.

Frontend & UI Integration

Develop and integrate modern UIs using React Angular Redux/Context API and Material UI.
Build responsive dashboards and PWAs with offline support.
Integrate frontends with backend APIs and event streams.

Collaboration & Leadership

Work in Agile/Scrum teams participate in sprint ceremonies and collaborate with cross-functional stakeholders.
Provide technical leadership architecture guidance and code reviews.
Produce RFCs system documentation runbooks and deployment standards.

Required Skills

Programming: Python JavaScript TypeScript
Frameworks: Django FastAPI Flask React Angular Vue
Databases: PostgreSQL MySQL MongoDB Redis DynamoDB SQL Server
Cloud: AWS Azure GCP (BigQuery Cloud Functions Pub/Sub)
Data/ML: PySpark Databricks Pandas NumPy Scikit-learn TensorFlow PyTorch
Messaging: Kafka RabbitMQ Celery SQS
DevOps: Docker Kubernetes Jenkins Terraform Ansible CI/CD
Security: OAuth2 JWT SSL/TLS IAM OWASP
Monitoring: CloudWatch ELK Grafana OpenTelemetry

Preferred Qualifications

Experience with AI/Agentic systems LLM orchestration anomaly detection and self-healing platforms.
Experience with contact center CRM telephony (IVR VoIP chatbots) platforms.
Strong data modeling (Star/Snowflake schemas) and governance experience.
Prior work in high-scale regulated enterprise environments.

Whats in it for you

Work on AI-driven cloud-native real-time enterprise platforms
Exposure to GenAI ML data engineering and distributed systems
Career growth into Architect Tech Lead or AI Platform Engineer roles
High-impact projects in fintech telecom insurance and SaaS domains

If youd like I can:

Senior Python Developer / AI & Cloud Platform Engineer Location: Hybrid (US) Experience: 8 12 Years Employment Type: Contract / Contract-to-Hire / Full-Time Job Summary We are seeking a Senior Python Developer / AI & Cloud Platform Engineer to design build and scale cloud-native data-driven and A...

Senior Python Developer / AI & Cloud Platform Engineer

Location: Hybrid (US)
Experience: 8 12 Years
Employment Type: Contract / Contract-to-Hire / Full-Time

Job Summary

You will work across microservices data platforms AI/ML pipelines CRM and contact center systems and real-time applications delivering highly available secure and scalable solutions.

Key Responsibilities Backend & API Development

Design and develop scalable backend services using Python Django FastAPI and Flask.
Build and maintain REST GraphQL and WebSocket APIs with robust validation authentication and error handling.
Implement asynchronous processing using asyncio Celery Kafka RabbitMQ SQS and EventBridge.
Optimize performance schema design and query tuning across PostgreSQL MySQL MongoDB Redis DynamoDB Oracle and SQL Server.

Cloud & Distributed Systems

Architect and deploy microservices on AWS and Azure including Lambda EC2 S3 RDS Aurora API Gateway EMR Glue Elastic Beanstalk Azure Functions App Service and Data Factory.
Design event-driven and serverless architectures with auto-scaling fault tolerance and disaster recovery.
Implement Infrastructure as Code using Terraform CloudFormation and Ansible.

Data Engineering & ML/AI

Build and manage data pipelines using PySpark Databricks Airflow DBT NiFi Pandas NumPy.
Train evaluate and deploy ML models using Scikit-learn TensorFlow PyTorch and SageMaker.
Develop AI-powered solutions including LLM integrations (Gemini GPT Llama) RAG pipelines OCR NLP and computer vision.
Implement real-time and batch analytics using BigQuery EMR Spark Kafka and Cloud Storage.

DevOps Observability & Security

Build CI/CD pipelines using Jenkins GitHub Actions Azure DevOps SonarQube.
Containerize and orchestrate applications with Docker and Kubernetes.
Implement monitoring and logging using CloudWatch X-Ray OpenTelemetry ELK Stack Grafana.
Enforce security standards: OAuth 2.0 JWT SSL/TLS SSO OWASP IAM secrets management encryption and compliance controls.

Frontend & UI Integration

Develop and integrate modern UIs using React Angular Redux/Context API and Material UI.
Build responsive dashboards and PWAs with offline support.
Integrate frontends with backend APIs and event streams.

Collaboration & Leadership

Work in Agile/Scrum teams participate in sprint ceremonies and collaborate with cross-functional stakeholders.
Provide technical leadership architecture guidance and code reviews.
Produce RFCs system documentation runbooks and deployment standards.

Required Skills

Preferred Qualifications

Experience with AI/Agentic systems LLM orchestration anomaly detection and self-healing platforms.
Experience with contact center CRM telephony (IVR VoIP chatbots) platforms.
Strong data modeling (Star/Snowflake schemas) and governance experience.
Prior work in high-scale regulated enterprise environments.