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# Senior Full Stack Engineer - Python, Java, Angular & AWS (GenAI)

- **Company:** Diverse Lynx LLC
- **Location:** Raleigh, NC, United States
- **Experience:** Expert
- **Salary:** $114,400.0
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Cascading Style Sheets (CSS), Cloud Engineering, Code Review, Information Engineering, Programming Tools, Amazon DynamoDB, Github, R (Programming Language), Junit, Python (Programming Language), PostgreSQL, OAuth, OpenID, Oracle (Applications), JSON Web Token, SPARQL, SQL Databases, TypeScript, Enterprise Data Management, Datadog, GitHub Copilot, Flask (Web Framework), Grafana, Prompt Engineering, Spring-boot, Software Security, Gitlab, Git, Cloudformation, Fastapi, Pytest, AngularJS, Pyspark, Kubernetes, Amazon Bedrock, Claude, Cloudwatch, Restful APIs, Terraform, Serverless Computing, Docker, Jenkins, Amazon Redshift, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/job/us7ca48ecbcea0cbafd8c9a9db04f4c041/eaa

## About the Role

7+ years of full-stack software development experience.
Strong hands-on development experience with:
Python, including FastAPI or Flask
Java and Spring Boot
Angular, TypeScript, JavaScript, HTML, and CSS
Experience developing RESTful APIs, microservices, serverless applications, and event-driven solutions.
Strong experience with AWS cloud development and deployment.
Experience with Python, PySpark, SQL, and data engineering or data analysis.
Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB.
Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools.
Experience with Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation.
Knowledge of automated testing frameworks and practices.
Understanding of application security, observability, performance Eligible to workimization, and enterprise production support.
Strong problem-solving, communication, collaboration, and code-review skills.
Ability to work Consultantly and within cross-functional teams.
Nice to have:-
Experience with GitHub Copilot or other generative AI development tools.
Knowledge of Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, or GenAI evaluation.
Experience with Amazon Neptune, Gremlin, SPARQL, or Graph APIs.
Knowledge of R programming.
Experience with Karate, JUnit, Test containers, pytest, or similar testing frameworks.
Familiarity with Open Telemetry, CloudWatch, Datadog, or comparable observability tools.
Knowledge of OAuth 2.0, OIDC, JWT, and enterprise data-governance practices.