AWS Full Stack Engineer

This opportunity is ideal for an experienced, hands-on engineer who is comfortable working across the full application stack-from modern web interfaces and backend services to databases and AWS cloud infrastructure. You will build scalable applications and APIs, contribute to cloud-native development initiatives, and support automated build, testing, and deployment processes., * Design, develop, and maintain scalable full-stack applications running in AWS.

• Build responsive web interfaces using React or Angular, JavaScript/TypeScript, HTML, and CSS.
• Develop backend services using Java and Spring Boot, Node.js, or Python.
• Build and integrate RESTful APIs and GraphQL services.
• Work with relational databases such as PostgreSQL and MySQL and NoSQL technologies such as Amazon DocumentDB or MongoDB.
• Develop and support CI/CD pipelines and containerized applications using Docker and Kubernetes.
• Apply infrastructure-as-code practices to enable reliable and repeatable cloud deployments.
• Integrate Generative AI and LLM capabilities into enterprise applications where appropriate.
• Develop automated tests and follow established TDD, source-control, and Agile development practices.
• Troubleshoot application, integration, database, and cloud-related issues across the technology stack.
• Lead technical initiatives, conduct code reviews, and mentor junior engineers.
• Collaborate with Product, UX, QA, and engineering teams to translate business requirements into scalable technical solutions.
• Apply responsible AI principles when implementing GenAI-enabled features.

• At least five years of experience developing and supporting applications in AWS environments.
• Strong full-stack development experience, including:
• Backend: Java/Spring Boot, Node.js, or Python
• Frontend: React or Angular
• Web Technologies: JavaScript/TypeScript, HTML, and CSS
• Experience building and integrating RESTful APIs.
• Experience working with PostgreSQL, MySQL, or similar relational databases.
• Exposure to Amazon DocumentDB, MongoDB, or comparable NoSQL technologies.
• Hands-on experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure as code.
• Strong understanding of scalable application architecture, software-design patterns, and cloud-native development.
• Experience with automated testing and test-driven development.
• Proficiency with Git and Agile software-development practices.
• Ability to lead technical work, perform code reviews, and mentor less-experienced engineers.
• Strong communication, problem-solving, and cross-functional collaboration skills., * Experience integrating Generative AI or LLM platforms such as OpenAI or Anthropic.
• Experience developing AI-enabled assistants, chat interfaces, summarization tools, or similar intelligent features.
• Familiarity with prompt engineering, model-tuning concepts, and responsible AI practices.
• GraphQL development experience.
• Experience working in financial services or another large, regulated enterprise environment.

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.