Senior Full Stack Developer – Python, Java & AWS

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Job Title: Senior Full Stack Developer – Python, Java & AWS

Location: Richardson, TX

Type: Contract

Job Description

We are seeking an experienced Senior Full Stack Developer with strong expertise in Python, Java, Angular, AWS Cloud, and data engineering. The ideal candidate will design, develop, test, and deploy scalable enterprise applications, RESTful APIs, microservices, and cloud-native solutions.

Key Responsibilities

• Develop full-stack applications using Python (FastAPI/Flask), Java, Spring Boot, Angular, TypeScript, JavaScript, HTML, and CSS.
• Design and implement RESTful APIs, microservices, serverless applications, and event-driven architectures.
• Build and maintain AWS cloud solutions with services such as Redshift, RDS, Aurora, and DynamoDB.
• Perform data processing and analytics using Python, PySpark, SQL, and relational or NoSQL databases.
• Implement CI/CD pipelines using Git, GitLab, Jenkins, GitHub Actions, or AWS-native tools.
• Work with Docker, Kubernetes, ECS/EKS, Terraform, and CloudFormation for deployment and infrastructure automation.
• Implement automated testing, application security, performance optimization, monitoring, and production support.
• Collaborate with cross-functional teams, participate in code reviews, and follow enterprise development standards.

Required Skills

• 7+ years of full-stack software development experience.
• Strong hands-on experience with Python, Java/Spring Boot, Angular/TypeScript, and AWS.
• Experience with REST APIs, microservices, and serverless architectures.
• Proficiency in Python, PySpark, SQL, and data engineering or analytics.
• Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB.
• Knowledge of CI/CD, Git, Docker, Kubernetes, and Infrastructure as Code.
• Understanding of automated testing, security, observability, and enterprise production support.
• Strong communication, analytical, and problem-solving skills.

Nice-to-Have Skills

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