Senior Python Full Stack Developer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Python
Flask/Django
react
angular
AWS
Terraform
Docker
(Jenkins
Bitbucket
ELK

Job Details

Senior Python Full Stack Developer

Location: Hybrid (Costa Mesa, CA or Allen (Dallas) TX)

2 or 3 days onsite

60/40% - Back End/Front End

Role Overview

As a Senior Python Full Stack Developer, you will play a key role in designing, developing, and maintaining scalable web applications and APIs that power client s decisioning and data platforms. You ll collaborate across engineering, product, and DevOps teams to deliver high-performance solutions that meet stringent security and compliance standards.

Key Responsibilities

  • Design and develop full-stack applications using Python (Flask/Django) and modern JavaScript frameworks (React/Angular).
  • Build and maintain RESTful APIs and microservices for real-time data processing.
  • Collaborate with cross-functional teams to define technical requirements and architecture.
  • Ensure code quality, performance, and security through automated testing and CI/CD pipelines.
  • Optimize applications for scalability and reliability in cloud environments (AWS preferred).
  • Participate in code reviews, sprint planning, and agile ceremonies.
  • Mentor junior developers and contribute to technical leadership across the team.

Required Qualifications

  • 8+ years of experience in software development, with strong expertise in Python and JavaScript.
  • Proficiency in frameworks like Flask, Django, React, or Angular.
  • Experience with AWS services (EC2, Lambda, S3, RDS, etc.).
  • Familiarity with infrastructure-as-code tools (Terraform, Docker).
  • Strong understanding of API design, versioning, and security best practices.
  • Experience with Git-based workflows and CI/CD tools (Jenkins, Bitbucket).
  • Knowledge of data privacy and handling PII securely.
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience with event-driven architecture and service mesh.
  • Exposure to observability tools (Datadog, Prometheus, ELK).
  • Background in financial services or data analytics platforms.
  • Python certification or cloud certifications (AWS, Google Cloud Platform).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.