Go Process Engineer — Docker, CI/CD & Data Flow

Kaiser Permanente

McKinney (TX)

Híbrido

USD 82.000 - 124.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Kaiser Permanente is seeking a Process Engineer in McKinney, Texas to own data-flow mappings, containerization, and deployments. You will coordinate releases with both on-site and remote teams while upholding code quality through automated linting and testing.

Ideal candidates will have strong Go knowledge, experience with Docker, and a proactive mindset to adapt to evolving business needs, delivering reliable and scalable software processes.

Formación

  • Solid understanding of technology best practices and industry standards.
  • A collaborator who makes the mid-level review feel less like an exam.
  • Flexibility to adapt your approach as business needs evolve.
  • Strong multitasking ability without sacrificing quality.
  • Working understanding of both Docker and Unit Testing in real-world settings.
  • Curiosity and a continuous drive to sharpen your technology craft.

Responsabilidades

  • Map data flow across Kaiser Permanente's Unit Testing services and spot the leaks.
  • Containerize applications and manage deployments with Docker and Initiative.
  • Coordinate releases with stakeholders across McKinney, TX and remote teams.
  • Ensure code quality through automated linting, testing, and static analysis.
  • Pull Kaiser Permanente's Go stack out of the TX region before the migration deadline.

Conocimientos

Docker
Unit Testing
Go
Code quality
Release coordination

Herramientas

Initiative
Docker

Descripción del empleo

Kaiser Permanente is seeking a Process Engineer in McKinney, Texas to own data-flow mappings, containerization, and deployments. You will coordinate releases with both on-site and remote teams while upholding code quality through automated linting and testing.

Ideal candidates will have strong Go knowledge, experience with Docker, and a proactive mindset to adapt to evolving business needs, delivering reliable and scalable software processes.

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