Senior AWS Full Stack Engineer

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. 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.Requirements 8+ years of experience in Full Stack Software Engineering or Cloud Application DevelopmentStrong frontend development experience using React and/or Angular with solid knowledge of JavaScript/TypeScript, HTML, and CSSBackend engineering expertise using technologies such as Node.js, Python, or Java with Spring BootExperience designing and integrating RESTful and GraphQL APIs in enterprise-scale applicationsStrong understanding of relational databases such as PostgreSQL or MySQL along with NoSQL platforms like MongoDB or DocumentDBHands-on experience working within AWS cloud environments, including cloud-native application deployment and infrastructure automationFamiliarity with CI/CD pipelines, Docker containers, Kubernetes orchestration, and Infrastructure as Code practicesExposure to Generative AI technologies and experience integrating LLMs such as OpenAI or Anthropic into applicationsUnderstanding of prompt engineering, AI-powered application features, and responsible AI implementation practicesStrong foundation in software engineering principles, application scalability, and modern architecture patternsExperience with automated testing frameworks, TDD methodologies, and version control systems such as GitStrong communication skills with the ability to translate business requirements into scalable technical solutionsBachelor's degree in Computer Science, Information Systems, or a related field.Nice-to-haves Experience integrating LLMs such as OpenAI or Anthropic into applicationsUnderstanding of prompt engineering, AI-powered application features, and responsible AI implementation practicesBenefits Competitive compensationComprehensive insurance optionsMatching contributions through the 401(k) planShare purchase planPaid time off for vacation, holidays, and sick timePaid parental leaveLearning opportunities and tuition assistanceWellness and Well-being programs