Product/Developer Enablement Engineer

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October 28

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Zealogics Inc

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Enterprise • SaaS • Artificial Intelligence

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

501 - 1000 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Help developers onboard, adopt, and effectively use emerging technology platforms through guidance, documentation, and technical support. • Create and maintain automation scripts using Python, Bash, or PowerShell to streamline workflows, improve efficiency, and enhance developer productivity. • Write clear, concise, and engaging technical documentation, onboarding guides, and tutorials to help internal and external developers quickly understand and use our tools. • Diagnose, debug, and resolve complex technical issues while maintaining a strong customer service mindset and collaborating closely with platform teams. • Work closely with developers and cross-functional teams to collect feedback, identify pain points, and contribute to improving platform tools, APIs, and documentation. • Support integrations and deployments across AWS, Azure, and Google Cloud environments. • Build and deploy applications using Docker and Kubernetes to ensure scalability, reliability, and performance. • Use Git and modern CI/CD practices to manage source code, releases, and collaboration across teams. • Support developers integrating machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn into products and workflows. • Assist in designing and maintaining data pipelines using tools like Apache Kafka and Airflow for ETL and real-time analytics.

🎯 Requirements

• 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.