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Senior Python Developer AI & Cloud Platform Engineer
Senior Python Developer AI & Cloud Platform EngineerVeeRteq Solutions Inc. • Chicago, Illinois, USA
Senior Python Developer AI & Cloud Platform Engineer

Senior Python Developer AI & Cloud Platform Engineer

VeeRteq Solutions Inc. • Chicago, Illinois, USA
4 days ago
Job type
  • Full-time
Job description

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 : Key Skills

APIs,Docker,Jenkins,REST,Python,AWS,NoSQL,MySQL,JavaScript,Postgresql,Django,GIT

Experience : years

Vacancy : 1

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Senior Python Developer AI Cloud Platform Engineer • Chicago, Illinois, USA