Data Engineer, API Platform Engineer

About the Role

The DATA ENGINEER - API PLATFORM ENGINEER role is responsible for designing, developing, and supporting enterprise API platforms to enable consistent and secure API delivery and governance. This position contributes to the evolution of API platform capabilities within the organization's information security modernization efforts, ensuring scalable, high-performing API solutions that support integration across diverse environments.

Key Responsibilities

• Design, develop, and implement enterprise API platform capabilities using API management tools.
• Build and manage scalable API proxies and services for REST and SOAP integrations.
• Implement API security frameworks including OAuth, JWT, API key management, and secure protocols.
• Develop and enforce API governance standards such as versioning and lifecycle management.
• Support API deployments across multi-cloud and hybrid architectures.
• Create CI/CD pipelines and automation for consistent API deployment and management.
• Configure API traffic policies to optimize performance and reliability.
• Monitor API performance and troubleshoot issues using analytics and observability tools.
• Integrate APIs with backend systems and enterprise platforms for seamless data exchange.
• Participate in migration from legacy API platforms to cloud-native or hybrid solutions.
• Ensure compliance with security, regulatory, and data privacy requirements.
• Collaborate with developers, architects, and platform teams on scalable API solutions.
• Provide operational support including incident response and continuous improvement.
• Maintain platform documentation, runbooks, and onboarding materials.
• Support proof-of-concept projects and evaluate new API and integration technologies.

Requirements & Tech Stack

• Experience designing, deploying, or operating API management platforms, preferably Apigee X.
• Knowledge of cloud-native infrastructure and container platforms such as GCP, Kubernetes, Docker.
• Experience with Infrastructure as Code tools (Terraform, Helm) and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions).
• Understanding of networking concepts in cloud and hybrid environments.
• Experience managing multi-cloud or hybrid environments.
• Preferred certifications: Google Cloud Platform or Kubernetes.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field; or Associate’s degree with 2 years relevant experience.
• Ability to analyze and profile data to address business problems using advanced modeling and data mining techniques.
• Experience with data analysis, quality, and profiling tools.
• Strong analytical, interpersonal, and time management skills.