Gravitee API Platform Automation Engineer

Select Minds•Dallas, TX

14h•Onsite

About The Position

We are seeking an experienced Gravitee & API Platform Automation Engineer to design and implement automation solutions for API management platforms, develop repeatable API onboarding and deployment processes, manage Apache Kafka pipeline migrations, and enhance enterprise CI/CD workflows. The role works closely with application, platform, and DevOps engineering teams to improve automation and platform integrations and support scalable API and event-driven architectures, including AI/LLM-enabled workloads. The position is a long-term contract and is onsite in Vienna, Virginia; Winchester, Virginia; Pensacola, Florida; Atlanta, Georgia; Dallas, Texas; Jacksonville, Florida; or San Diego, California. Three positions are open. Compensation is $130,000–$140,000 per year. The employer describes its approach as client-first and collaborative, with an Agile work approach, flexibility, disciplined execution, and participation in community decisions.

Requirements

Hands-on experience with Gravitee API Management and API Gateway.
Strong understanding of API lifecycle management, API integration, and API automation.
Practical experience with Apache Kafka, including topics, pipelines, configurations, and migration activities.
Strong experience developing, maintaining, and automating enterprise CI/CD pipelines.
Solid understanding of DevOps practices, deployment automation, and release management.
Experience integrating enterprise applications, APIs, and platform services.
Ability to troubleshoot complex API, Kafka, deployment, and pipeline-related issues.
Strong analytical, problem-solving, communication, and collaboration skills.

Nice To Haves

Experience building automation capabilities for AI/ML or LLM-enabled workloads.
Exposure to API gateway automation, configuration management, and infrastructure automation.
Experience working with enterprise-scale API and event-driven architectures.
Familiarity with modern DevOps tools, automation frameworks, and deployment practices.
Experience across Gravitee API Management, Kafka engineering, and CI/CD automation is strongly preferred.

Responsibilities

Design, develop, and implement automation solutions for Gravitee API Management and API Gateway processes.
Build automation capabilities to support LLM- and AI-enabled workloads.
Develop reusable and repeatable API onboarding, configuration, and deployment patterns.
Integrate Gravitee configurations and deployment workflows into enterprise CI/CD pipelines.
Automate API lifecycle management, including onboarding, configuration, deployment, and standardization.
Improve platform consistency, operational efficiency, and deployment reliability through automation.
Plan and execute migration of Kafka pipelines, topics, configurations, and associated integrations across environments.
Develop and automate repeatable Kafka migration, configuration, and deployment processes.
Coordinate Kafka migration activities with application development, platform engineering, and infrastructure teams.
Identify, troubleshoot, and resolve migration-related issues while minimizing disruption to existing applications and services.
Validate Kafka configurations, pipeline functionality, and integration reliability across environments.
Ensure consistency, scalability, and operational stability across Kafka environments.
Maintain, enhance, and continuously improve enterprise CI/CD pipelines, tools, templates, and engineering standards.
Automate build, testing, security validation, deployment, and release management processes.
Integrate API management and Kafka deployment workflows into CI/CD pipelines.
Troubleshoot pipeline failures, deployment issues, and platform integration challenges.
Develop reusable automation frameworks and promote standardized DevOps practices.
Collaborate with engineering teams to improve deployment efficiency, release quality, and platform reliability.