Senior AWS Full Stack Software 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. The role also offers opportunities to incorporate Generative AI and large language model capabilities into enterprise applications, including intelligent assistants, conversational interfaces, summarization, and other AI-enabled features.

Senior AWS Full Stack Engineer

Locations: Knoxville, TN | Columbia, SC | Lafayette, LA | Birmingham, AL
Work Arrangement: Hybrid — candidates must be able to work from one of the listed locations
Industry: Financial Services
Experience: 5+ years

We are seeking a Senior AWS Full Stack Engineer to develop and enhance cloud-based applications within a large-scale financial services environment.

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.

The role also offers opportunities to incorporate Generative AI and large language model capabilities into enterprise applications, including intelligent assistants, conversational interfaces, summarization, and other AI-enabled features.

What You’ll Do

• 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.

What You’ll Bring

• 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.

Preferred Qualifications

• 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.

If you are a hands-on full-stack engineer who enjoys solving complex problems, building scalable AWS applications, and exploring the possibilities of Generative AI, we would like to hear from you.

Ref: #404-IT Pittsburgh