Summary
Deland, Gibson Insurance Associates is seeking a skilled Python Engineer with hands-on experience in DevOps practices and GitHub-based development. The candidate will be responsible for developing Python apps, automating processes, supporting CI/CD pipelines, and collaborating with cross-functional teams to deliver high-quality solutions.
Responsibilities
- Develop, maintain, and enhance applications and automation scripts using Python
- Design and support CI/CD pipelines for application deployment
- Manage source code repositories using Git and GitHub
- Automate operational and development processes using scripting and DevOps tools
Skills
- US Citizen to have Security Clearance
- We need python with Apigee experience is needed
- A skilled Python Engineer with hands-on experience in DevOps practices and GitHub-based development
- Develop, maintain, and enhance applications and automation scripts using Python
- Design and support CI/CD pipelines for application deployment
- Manage source code repositories using Git and GitHub
- Automate operational and development processes using scripting and DevOps tools
- Strong experience in Python development
- Hands-on experience with Git and GitHub
- Good understanding of DevOps concepts and CI/CD pipelines
- Experience with Docker and Kubernetes is preferred
- Familiarity with AWS, Azure, or GCP cloud platforms
Qualifications
Must Haves
- US Citizen to have Security Clearance
- We need python with Apigee experience is needed
- A skilled Python Engineer with hands-on experience in DevOps practices and GitHub-based development
- Develop, maintain, and enhance applications and automation scripts using Python
- Design and support CI/CD pipelines for application deployment
- Manage source code repositories using Git and GitHub
- Automate operational and development processes using scripting and DevOps tools
- Strong experience in Python development
- Hands-on experience with Git and GitHub
- Good understanding of DevOps concepts and CI/CD pipelines
Nice to Haves
- Experience with Docker and Kubernetes is preferred
- Familiarity with AWS, Azure, or GCP cloud platforms