Senior AWS Full Stack Engineer

CGI•Reston, VA

2d•Hybrid

About The Position

We are seeking a Senior AWS/Cloud Full Stack Engineer to design, develop, and support scalable cloud-native applications within a modern Financial Services technology environment. This role combines deep full stack engineering expertise with cloud architecture, DevOps practices, and emerging Generative AI technologies. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years! This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.

Requirements

8+ years of experience in Full Stack Software Engineering or Cloud Application Development
Strong frontend development experience using React and/or Angular with solid knowledge of JavaScript/TypeScript, HTML, and CSS
Backend engineering expertise using technologies such as Node.js, Python, or Java with Spring Boot
Experience designing and integrating RESTful and GraphQL APIs in enterprise-scale applications
Strong understanding of relational databases such as PostgreSQL or MySQL along with NoSQL platforms like MongoDB or DocumentDB
Hands-on experience working within AWS cloud environments, including cloud-native application deployment and infrastructure automation
Familiarity with CI/CD pipelines, Docker containers, Kubernetes orchestration, and Infrastructure as Code practices
Exposure to Generative AI technologies and experience integrating LLMs such as OpenAI or Anthropic into applications
Understanding of prompt engineering, AI-powered application features, and responsible AI implementation practices
Strong foundation in software engineering principles, application scalability, and modern architecture patterns
Experience with automated testing frameworks, TDD methodologies, and version control systems such as Git
Strong communication skills with the ability to translate business requirements into scalable technical solutions
Bachelor's degree in Computer Science, Information Systems, or a related field.

Nice To Haves

Experience integrating LLMs such as OpenAI or Anthropic into applications
Understanding of prompt engineering, AI-powered application features, and responsible AI implementation practices

Responsibilities

Design, develop, and support scalable cloud-native applications within a modern Financial Services technology environment.
Combine deep full stack engineering expertise with cloud architecture, DevOps practices, and emerging Generative AI technologies.
Contribute to the integration of GenAI capabilities such as intelligent assistants, chatbot functionality, and AI-powered automation into enterprise platforms.
Collaborate with Product, UX, QA, and engineering teams to deliver secure, scalable, and high-performing applications aligned with enterprise standards and regulatory expectations.
Lead technical initiatives.
Mentor developers.
Collaborate effectively across Agile product teams.