AWS Python Developer – Full Stack & Data Engineering

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Job Description: AWS Python Developer – Full Stack & Data Engineering

Location: Richardson, TX

Type: Contract

Job Description

We are seeking an experienced Senior Full Stack Developer with 7+ years of software development experience across Python, Java, Angular, AWS cloud services, and data engineering. The ideal candidate will develop scalable applications, RESTful APIs, microservices, and cloud-native solutions while ensuring performance, security, and reliability.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python, FastAPI/Flask, Java, Spring Boot, Angular, TypeScript, JavaScript, HTML, and CSS.
• Build RESTful APIs, microservices, serverless applications, and event-driven solutions.
• Develop and deploy cloud-native applications using AWS services.
• Implement data processing and analytics solutions using Python, PySpark, SQL, and AWS data services.
• Work with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, and DynamoDB.
• Implement CI/CD pipelines using Git, GitLab, Jenkins, GitHub Actions, and AWS-native tools.
• Use Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation for containerization and infrastructure automation.
• Develop automated tests and ensure application quality, security, and performance.
• Monitor applications, troubleshoot production issues, and provide enterprise-level production support.
• Collaborate with cross-functional teams, participate in code reviews, and follow software engineering best practices.

Required Skills

• 7+ years of full-stack software development experience.
• Strong Python development with FastAPI or Flask.
• Java and Spring Boot development.
• Angular, TypeScript, JavaScript, HTML, and CSS.
• AWS cloud development and deployment.
• REST APIs, microservices, serverless, and event-driven architecture.
• Python, PySpark, SQL, and data engineering.
• Experience with relational or NoSQL databases.
• CI/CD, Docker, Kubernetes, and Infrastructure as Code.
• Automated testing, application security, observability, and production support.
• Strong analytical, communication, and collaboration skills.

Nice-to-Have Skills

• GitHub Copilot and Generative AI development tools.
• Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, and GenAI evaluation.
• Amazon Neptune, Gremlin, SPARQL, and Graph APIs.
• R programming.
• Karate, JUnit, Testcontainers, and pytest.
• OpenTelemetry, CloudWatch, and Datadog.
• OAuth 2.0, OIDC, JWT, and enterprise data governance.