Python Software Engineer (OpenShift/Kubernetes)

<>Note: Candidates must be willing to work on W2 only. We are considering candidates with 7+ years of experience only (minimum 7 years required). Must be able to work on direct W2.

 

Job Title: Python Software Engineer (OpenShift/Kubernetes)

Location: Cleveland, OH / Dallas, TX / Pittsburgh, PA
Work Model: Hybrid (3 days/week onsite - Mandatory)

Job Summary

We are seeking a skilled Python Software Engineer with strong experience building and deploying cloud-native applications. The ideal candidate will have 5–8+ years of Python development experience along with hands-on expertise in OpenShift (OCP) or Kubernetes, CI/CD pipelines, and enterprise software development. This is a software engineering role focused on developing, deploying, and supporting production applications rather than a traditional DevOps position.

Required Skills

• 5–8+ years of professional experience in Python software development.
• Strong hands-on experience with Python and enterprise application development.
• Experience deploying and managing applications on OpenShift (OCP) and/or Kubernetes.
• Hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar).
• Experience troubleshooting deployment issues, container images, and release failures.
• Strong understanding of Docker/containerization.
• Experience working in enterprise software development environments.
• Familiarity with Git and Agile/Scrum development methodologies.
• Strong debugging, problem-solving, and communication skills.

Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of REST APIs, FastAPI, Flask, or Django.
• Experience with monitoring and logging tools.
• Exposure to Infrastructure as Code (Terraform, Ansible) is a plus.

Key Responsibilities

• Design, develop, and maintain scalable Python applications.
• Deploy and support applications on OpenShift/Kubernetes platforms.
• Build and maintain CI/CD pipelines for automated deployments.
• Troubleshoot deployment, container, and production release issues.
• Collaborate with cross-functional teams to deliver high-quality software.
• Participate in code reviews and follow engineering best practices.
• Ensure application reliability, performance, and security in production environments.
• Contribute to continuous improvement of deployment and development processes.