Sr. Full Stack Python Developer (United States)

Job Title: Sr. Full Stack Software Engineer (Python)

Location: Remote (USA/Canada)

Work Type: Full Time

About Smart IT Frame:

At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

Job Description:

We are seeking an experienced Senior Full Stack Python Developer to join a growing team delivering innovative technology solutions within the insurance industry. This role is ideal for a hands-on developer who enjoys building scalable applications, working across the full development lifecycle, and collaborating in an Agile environment.

You will be responsible for designing, developing, and deploying modern web applications while contributing to cloud-based solutions and DevOps best practices.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and enhance user-facing applications using frameworks such as Flask or Streamlit
• Collaborate with cross-functional teams in an Agile development environment
• Manage source code, branching strategies, and deployments using Git/GitHub
• Develop and maintain CI/CD pipelines, including GitHub Actions where applicable
• Deploy and support applications in cloud environments, primarily AWS
• Work with containerization technologies such as Docker and orchestration platforms like Kubernetes/EKS
• Troubleshoot, optimize, and maintain applications running on Linux environments

Required Qualifications

• 5+ years of professional experience in Python development
• Strong experience with Git, GitHub, and CI/CD processes
• Solid understanding of Linux and Bash scripting
• Experience working within Agile/Scrum development teams
• Full-stack development experience with modern application architectures
• Strong problem-solving and debugging skills
• Experience working in the Insurance domain

Preferred Qualifications

• Experience building customer-facing applications using Flask or Streamlit
• Hands-on experience with Docker
• Experience with AWS services, including EC2
• Experience deploying and managing applications on Kubernetes or Amazon EKS
• Exposure to Data Science, Analytics, or AI-driven projects
• Experience working with Insurance Technology (InsurTech) platforms and solutions