Senior Software Engineer

CGI•Greenville, SC

2d•Hybrid

About The Position

CGI is seeking an experienced Full Stack Software Engineer with 5+ years of experience in designing and developing scalable enterprise applications. The ideal candidate will have strong hands-on experience in frontend and backend development using modern technologies, along with exposure to AWS cloud services and DevOps practices. This role involves designing, building, deploying, and maintaining high-quality applications across the full stack to deliver real business value. The candidate should be capable of ensuring applications are stable, scalable, performant, and secure across environments. This role is located at a client site in Greenville, SC. A hybrid working model is acceptable.

Requirements

5+years of experience in a software development role preferred.
JavaScript / TypeScript
React
Node.js
Git
AWS RDS - Postgres
MongoDB Atlas
Playwright
Databricks
Power BI
Grafana
Ability to leverage AI tools for code generation, optimization, troubleshooting, and testing
MS Office
JIRA

Nice To Haves

Spring Boot
AWS Lambda, Step Functions, CloudWatch, S3, EC2
AWS CLI
AWS CodePipeline
AWS CloudFront
CloudFormation
AWS Security Groups
AWS ECS
Elixir
React, React Native, Flutter, Kotlin, Swift
Material UI
Figma
Jenkins
Zephyr

Responsibilities

Hands-on experience with AI-assisted development tools is required, with the ability to leverage these tools to improve development productivity, code quality, and testing efficiency.
The candidate is expected to collaborate closely with business stakeholders, UX/UI teams, and senior engineers to refine requirements and deliver intuitive, high-quality user experiences. Strong communication skills and the ability to work effectively in a collaborative, global environment is essential.
Exposure to data and BI tools (such as Databricks, Power BI, or similar) is considered a plus, with the ability to support analytic-driven insights where needed.
Write beautiful, clean, secure, and maintainable code across our application ecosystem.
Complete testing, debugging, and incremental enhancements to existing software utilizing AI-powered development tools.
Provide basic technical support by diagnosing and resolving incidents.
Implement changes to applications and maintain clear technical documentation.
Build, run, and optimize unit tests and test plans.
Use AI-based testing platforms to identify anomalies, generate test cases, and detect regressions. Analyze, report, and resolve bugs, incidents, and malfunctions.
Contribute to change management, communication, and technical training.
Build automated deployment pipelines using modern DevSecOps.
Support solutions in production (especially in product-mode environments).
Apply AI tools for log analysis, monitoring, operational insights, and incident prediction.
Demonstrate a willingness/ability to provide on call support or perform deployment work outside normal work hours and on weekends, as needed.
Build and maintain data pipelines and models using Databricks and SQL to support reporting and analytics.
Create clear, high value dashboards in Power BI and Grafana to enable data driven decisions.
Monitor data quality, resolve inconsistencies, and implement automated validation and anomaly detection.
Use AI assisted tools to accelerate data exploration, analysis, and insight generation.
Collaborate with stakeholders to define data requirements and ensure analytics solutions meet business needs.
Maintain documentation and support technical users in understanding dashboards and data outputs
Collaborate with business stakeholders and UX/UI experts to ensure functional and technical requirements truly reflect business needs.
Use AI-assisted analysis tools to evaluate user behavior, detect gaps, and refine UX/UI and functional specifications.