Python Technical Lead

Qode
New York, NY

Position: Python Technical Lead

Location: Fort Mill, SC/ NYC, NY

Duration: Full-Time

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.
Posted 2026-02-19

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