Zealogics

Product / Developer Enablement Engineer (Remote)

Remote
Python Bash PowerShell AWS Azure GCP Docker Kubernetes Git TensorFlow PyTorch Scikit-learn Kafka Airflow
Description

Product / Developer Enablement Engineer

Location: Remote

merging Tech โ€“ Product / Developer Enablement Engineer

Location: Flexible (Remote/Hybrid)
Experience Level: 5โ€“8 years required | 10+ years preferred
Department: Emerging Technologies / Developer Experience


About the Role

We are looking for a passionate and technically skilled Product / Developer Enablement Engineer to join our Emerging Technologies team. This role bridges the gap between cutting-edge technology platforms and the developers who use them. You will play a key part in accelerating developer adoption, improving platform usability, and driving innovation through automation, documentation, and enablement initiatives.


Key Responsibilities

  • 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.

Required Qualifications

  • 5โ€“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, GCP).
  • 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.

Preferred Attributes

  • Prior experience supporting developer platforms, SDKs, or internal tools.
  • Exposure to DevRel or Developer Advocacy environments.
  • Strong problem-solving ability and ownership mentality.
  • Excitement for emerging technologies and innovation enablement.

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