Python Full Stack Lead
Job Description
Job Title: Python Full Stack Lead
Location: Fort Mill, SC/ New York, NY
Job Type: Full-time
Salary: $120K for FM & $135K for NY
Job Summary:
We are looking for a highly skilled Lead Python Developer with strong experience in Angular and AWS to lead the design and development of scalable, cloud-based applications. The ideal candidate should have a solid background in full-stack development, cloud architecture, and team leadership.
Key Responsibilities:
• Lead the design, development, and deployment of applications using Python and Angular.
• Architect and implement cloud-native solutions on AWS (Lambda, API Gateway, S3, DynamoDB, RDS, EC2).
• Build and optimize RESTful APIs and integrate with front-end Angular applications.
• Guide the team in writing clean, maintainable, and efficient code.
• Oversee CI/CD pipelines and Infrastructure-as-Code deployments (Terraform/CloudFormation).
• Collaborate with cross-functional teams to translate business needs into technical solutions.
• Ensure high code quality through code reviews, testing, and best practices.
• Mentor junior developers and provide technical leadership across projects.
Required Skills & Qualifications:
• 12+ years of professional software development experience, including 2+ years in a lead role.
• Strong proficiency in Python frameworks (Django, Flask, FastAPI).
• Hands-on experience with Angular (latest versions) for front-end development.
• Proven expertise in AWS services such as Lambda, EC2, S3, API Gateway, DynamoDB, CloudWatch, and RDS.
• Strong knowledge of microservices architecture, REST APIs, and event-driven systems.
• Experience with CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline) and containerization (Docker, Kubernetes).
• Solid database experience with SQL and NoSQL (PostgreSQL, MySQL, MongoDB).
• Strong problem-solving and leadership skills.
Preferred Skills:
• Experience with serverless architectures and middleware design.
• Familiarity with TypeScript and front-end performance optimization.
• Exposure to AI/ML or data engineering on cloud platforms.
Education:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
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