Overview
Remote
$70 - $80
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Python
Bash
or PowerShell
Docker and Kubernetes
Job Details
- Developer Enablement:
Help developers onboard, adopt, and effectively use emerging technology platforms through guidance, documentation, and technical support. - Scripting & Automation:
Create and maintain automation scripts using Python, Bash, or PowerShell to streamline workflows, improve efficiency, and enhance developer productivity. - Technical Documentation:
Write clear, concise, and engaging technical documentation, onboarding guides, and tutorials to help internal and external developers quickly understand and use our tools. - Troubleshooting & Support:
Diagnose, debug, and resolve complex technical issues while maintaining a strong customer service mindset and collaborating closely with platform teams. - Collaboration & Feedback Integration:
Work closely with developers and cross-functional teams to collect feedback, identify pain points, and contribute to improving platform tools, APIs, and documentation. - Cloud Services Expertise:
Support integrations and deployments across AWS, Azure, and Google Cloud environments. - Containerization & Orchestration:
Build and deploy applications using Docker and Kubernetes to ensure scalability, reliability, and performance. - Version Control & CI/CD:
Use Git and modern CI/CD practices to manage source code, releases, and collaboration across teams. - Machine Learning Enablement:
Support developers integrating machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn into products and workflows. - Data Integration & Workflow Automation:
Assist in designing and maintaining data pipelines using tools like Apache Kafka and Airflow for ETL and real-time analytics.
- 5 8 years of experience in software engineering, developer enablement, or platform engineering (10+ years preferred).
- Strong scripting and automation experience in Python, Bash, or PowerShell.
- Hands-on experience with cloud platforms (AWS, Azure, Google Cloud Platform).
- Solid understanding of containerization (Docker) and orchestration (Kubernetes).
- Excellent communication and documentation skills.
- Familiarity with machine learning frameworks and data integration pipelines.
- Collaborative mindset with a passion for enabling others through technology.
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.