Senior AWS Full Stack Engineer
Role details
Job location
Tech stack
Job description
We are is 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.
Requirements
We are is 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.
The ideal candidate will have strong experience across frontend and backend development, AWS cloud services, API engineering, and containerized deployment environments. In addition to core software engineering responsibilities, the role will contribute to the integration of GenAI capabilities such as intelligent assistants, chatbot functionality, and AI-powered automation into enterprise platforms.
This position requires strong collaboration with Product, UX, QA, and engineering teams to deliver secure, scalable, and high-performing applications aligned with enterprise standards and regulatory expectations.
Required qualifications to be successful in this role:
. 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
. Ability to lead technical initiatives, mentor developers, and collaborate effectively across Agile product teams
. 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.?, * Docker
- Java
- JavaScript
- Kubernetes
- NoSQL
- Python
- Spring Boot
Benefits & conditions
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $95,800.00 - $154,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs