Full Stack Engineer - Python / Angular

CGI•Jersey City, NJ

1d•Onsite

About The Position

CGI is seeking to hire a Full Stack Python/Angular Engineer with a passion for clean code, scalable systems, and collaborative problem-solving skills. This is an exciting opportunity to work in a fast-paced team environment supporting one of our Financial Services customers. We are taking an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. This is a Full Time - On Site Employment opportunity based in Jersey City, NJ.

Requirements

6+ years of software engineering experience
5+ years of Python development, building scalable, secure applications
Strong expertise in Angular and JavaScript/TypeScript for web development
Deep understanding of Python internals, performance tuning, and advanced features
Experience with Docker, Kubernetes, and serverless architectures
Proficiency in AWS (EC2, Lambda, S3, IAM, KMS, CloudWatch) with focus on security and cost optimization
Experience with automated testing (Pytest)
Exposure to LLMs/AI systems (OpenAI/Azure OpenAI, Gemini), including tokenization, LangGraph, and AI agents
Familiarity with data science tools and workflows (Jupyter, MLflow, Airflow)
Experience with SOA, microservices, distributed systems, and cloud-based applications
Strong problem-solving skills and ability to thrive in fast-paced, collaborative environments
Bachelor's degree in computer science or related field.

Responsibilities

Develop, and maintain scalable, high performance web applications using Angular.
Build, test, and integrate RESTful APIs using Python frameworks such as Django, Flask, or FastAPI.
Implement secure, scalable backend logic following best practices for authentication, authorization, and application security (OAuth 2.0, Azure AD, JWT).
Containerize applications using Docker (Docker files, secrets, image versioning) and deploy microservices on AWS EKS/Kubernetes.
Work extensively with OLTP databases (Oracle/MySQL/SQL Server) and OLAP platforms (Snowflake, DuckDB, Redshift), including complex SQL optimization.
Implement effective caching strategies in Python APIs (TTL, cache limits, invalidation) to improve performance and reduce latency.
Build and maintain CI/CD pipelines using Jenkins or similar tools, with automated testing using Pytest.
Collaborate with Product Owners, Architects, Tech Leads, and stakeholders, demonstrating strong problem solving, communication, and teamwork skills