Python Full Stack Developer

SoftPath Technologies LLC

United States

14 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Release Automation Build Automation Continuous Integration Software Debugging DevOps Python (Programming Language) Object-Oriented Software Development Release Management Shell Script Software Deployment Scripting

+7 more

Git Build Management Containerization Kubernetes Deployment Automation Software Coding Software Version Control

Job description

Develop, enhance, and maintain automation scripts using Python for build, deployment, monitoring, and operational support activities.
Implement and support DevOps processes including CI/CD pipeline configuration, release automation, and environment management.
Work on Core Java-based applications, including debugging, enhancement, integration, and support activities.
Deploy, manage, and troubleshoot applications running on Kubernetes-based container platforms.
Collaborate with onsite client stakeholders, offshore teams, developers, QA, and operations teams to ensure smooth delivery and production stability.
Analyze technical issues across application, infrastructure, and deployment layers and provide timely resolution.
Support code versioning, build management, and deployment activities using standard DevOps tools and practices.
Ensure adherence to coding standards, deployment best practices, security guidelines, and operational procedures.

Requirements

Strong hands-on experience in Python scripting for automation, file handling, API integration, and operational tasks.
Good understanding of DevOps concepts including CI/CD, build automation, deployment automation, and release management.
Hands-on experience with Core Java, including object-oriented programming, exception handling, collections, multithreading basics, and application troubleshooting.
Practical knowledge of Kubernetes concepts such as pods, deployments, services, namespaces, config maps, secrets, logs, and scaling.
Experience with version control systems such as Git.
Ability to troubleshoot deployment failures, application issues, and environment-related problems.
Good understanding of Linux/Unix commands and shell scripting basics.