merging Tech – Product / Developer Enablement Engineer

Location: Flexible (Remote/Hybrid) Experience Level: 5–8 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

• 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, 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.