Senior Python Developer

Senior Python Developer

Location: Austin, TX
Only USC/GC/GCEAD/H4EAD

Industry: Banking / Financial Services / AI & ML – need strong experience. 

Client: Charles Schwab

 

Experience Level: 12+ Years

Job Description

We are seeking a highly skilled and experienced Senior Python Developer with a strong background in full-stack development, cloud platforms, AI/ML workflows, and scalable microservices architecture. The ideal candidate will have deep hands-on experience in designing and implementing end-to-end enterprise-level solutions using Python, Flask, Django, FastAPI, Angular/React, AWS, and data engineering tools like PySpark and Airflow.

Responsibilities:

• Lead the design and development of scalable RESTful and GraphQL APIs using Flask, Django, FastAPI, and Node.js.
• Architect and develop front-end interfaces using Angular and React with state management libraries like Redux and NgRx.
• Build microservices and event-driven applications using Kafka, RabbitMQ, and AWS serverless tools (Lambda, Step Functions, etc.).
• Develop, optimize, and manage ETL pipelines using PySpark, AWS Glue, and Apache Airflow.
• Integrate and manage machine learning workflows using SageMaker, TensorFlow, PyTorch, and Kubeflow.
• Design and deploy AI-powered chatbots and RAG-based applications using LangChain, LangGraph, OpenAI APIs, and AWS Lex.
• Work with vector databases like FAISS, Pinecone, and Weaviate for semantic search and NLP-based applications.
• Implement CI/CD pipelines using GitHub Actions, Jenkins, Terraform, and AWS CodePipeline.
• Ensure best practices in code quality, testing (Pytest, Selenium), and performance optimization.
• Collaborate with cross-functional teams including data scientists, DevOps, and front-end engineers to deliver seamless end-to-end solutions.

 

Must-Have Skills:

• Expertise in Python (Flask, Django, FastAPI) for backend/API development.
• Proficiency in Angular and React for front-end development.
• Experience with ETL/ELT tools: PySpark, AWS Glue, Apache Airflow.
• Deep understanding of AWS Services: Lambda, S3, Redshift, SageMaker, DynamoDB, CloudWatch.
• Strong knowledge in AI/ML: LangChain, OpenAI API, Transformers, SageMaker, PyTorch, TensorFlow.
• Experience with CI/CD tools: Jenkins, GitHub Actions, Terraform.
• Hands-on with containerization and orchestration: Docker, Kubernetes.
• Proven experience in building MLOps pipelines and working with vector databases.
• Familiarity with GCP (BigQuery, Cloud Functions).
• Experience in banking/finance domains with fraud detection, risk modeling, or customer support AI solutions.
• Knowledge of data warehousing (Redshift, BigQuery), and real-time processing (Kafka, Spark Streaming).
• Understanding of DevOps principles and tools like Prometheus, Grafana, CloudFormation.

Education & Certification:

• Bachelor’s degree in Computer Science or related field.
• AWS Certified Developer – Associate 
• PCEP – Python Certified Entry-Level Programmer (Preferred).