Platform Engineer: Core Platforms & Automation

Bot Auto

Houston (TX)

On-site

USD 70,000 - 105,000

Full time

14 days+

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Job summary

Bot Auto is recruiting a Software Engineer, Core Platforms in Houston to build and run internal platforms used by engineering teams. You will ship production code early, receive mentorship and code reviews, and gain experience with Kubernetes, infrastructure-as-code, and distributed systems in autonomous transportation.

The role emphasizes hands-on work, collaboration with senior engineers, and contributions to platform tooling, data pipelines, ML workflows, and CI/CD.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 0–2 years of software/DevOps experience (internships, co-ops, or projects count).
  • Proficient in Python, Go, Java, or JavaScript/TypeScript.
  • Working knowledge of Linux, Git, and containers (Docker).
  • Familiarity with Kubernetes and IaC tooling is a plus.

Responsibilities

  • Develop and operate Kubernetes-based platforms and platform services.
  • Write and maintain infrastructure-as-code (Terraform, Ansible) for on-prem and cloud environments.
  • Support data pipelines, ML workflows, and CI/CD across teams.
  • Deploy and operate self-hosted LLMs and agent-based workflows.
  • Maintain API gateways and messaging/streaming systems and improve observability.

Skills

Python
Go
Java
JavaScript/TypeScript
Linux
Git

Education

Bachelor’s degree in CS/Engineering or related field

Tools

Docker
Kubernetes
Terraform
Ansible
AWS

Job description

Bot Auto is recruiting a Software Engineer, Core Platforms in Houston to build and run internal platforms used by engineering teams. You will ship production code early, receive mentorship and code reviews, and gain experience with Kubernetes, infrastructure-as-code, and distributed systems in autonomous transportation.

The role emphasizes hands-on work, collaboration with senior engineers, and contributions to platform tooling, data pipelines, ML workflows, and CI/CD.

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