Senior AWS Full Stack Software Engineer

CGI•Burmingham, AL

1d•Hybrid

About The Position

CGI is seeking a Senior AWS Full Stack Software Engineer to develop, modernize, and support enterprise applications within a large scale, AWS focused financial services environment. This is a hands-on engineering role working across backend services, web applications, cloud infrastructure, databases, automated testing, CI/CD, and production support. The engineer will work primarily with Java, Python, Spring Boot, Angular, TypeScript, and AWS, developing APIs, microservices, batch applications, integrations, and user facing application components. 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 Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL. A hybrid working model is acceptable.

Requirements

5+ years of hands-on Java development experience, preferably with Spring Boot, Spring MVC, and/or Spring Batch.
5+ years of AWS experience with services such as ECS, Lambda, RDS, Aurora PostgreSQL, SQS, and SNS.
Full stack development experience with Angular and TypeScript.
Experience developing REST APIs, microservices, batch applications, and enterprise integrations.
Working proficiency with Python for application development, automation, or supporting services.
Strong relational database experience with PostgreSQL/Aurora PostgreSQL and Oracle/Oracle RDS, including SQL troubleshooting and performance optimization.
Experience building and supporting CI/CD pipelines using Jenkins, GitLab CI/CD, GitHub Actions, Maven, Gradle, or comparable tooling.
Hands on experience with Docker and containerized deployments, including AWS ECS and/or Kubernetes.
Experience with Infrastructure as Code, preferably Terraform and/or AWS CloudFormation.
Experience deploying, configuring, and troubleshooting applications on JBoss/WildFly or similar enterprise application servers.
Understanding of secure coding, vulnerability remediation, dependency management, and security scanning within CI/CD pipelines.
Automated testing experience using JUnit, Mockito, Karate, Selenium, Playwright, or comparable frameworks.
Experience troubleshooting distributed applications across cloud services, APIs, databases, messaging platforms, and application infrastructure.
Familiarity with specification driven development and translating requirements into technical specifications, test scenarios, and implementation plans.
Practical experience using AI assisted software development tools, with an understanding of enterprise security, privacy, and code validation requirements.
Strong communication and problem-solving skills with the ability to work across engineering, QA, security, DevOps, infrastructure, and business teams.
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field

Responsibilities

Develop, enhance, and support enterprise applications using Java, Python, Spring Boot, Angular, and TypeScript.
Build and maintain AWS based applications using services such as ECS, Lambda, RDS, Aurora PostgreSQL, SQS, and SNS.
Develop REST APIs, microservices, batch processes, enterprise integrations, and frontend components.
Work with Oracle and PostgreSQL databases, including query optimization, troubleshooting, and data integration.
Maintain and troubleshoot applications running on JBoss/WildFly and container-based platforms.
Build and maintain CI/CD pipelines supporting automated builds, testing, security scanning, deployments, and releases.
Use Docker, Kubernetes/ECS, Terraform, CloudFormation, and related DevOps tooling to support application delivery and environment automation.
Identify and remediate application vulnerabilities, outdated dependencies, code quality issues, and technical debt.
Develop automated unit, integration, API, and UI tests using tools such as JUnit, Mockito, Karate, Selenium, and Playwright.
Troubleshoot production issues across applications, APIs, AWS services, databases, messaging, and CI/CD pipelines.
Apply specification driven development practices to translate business and technical requirements into implementation and testing plans.
Use AI assisted development tools responsibly for coding, testing, documentation, troubleshooting, and engineering productivity while validating outputs for security and accuracy.
Collaborate with product, QA, security, DevOps, infrastructure, and other engineering teams in an Agile delivery environment.