Remote AI Platform Engineer: CI/CD, MLOps & Observability

HERE Technologies

Kraków

Hybrid

PLN 240,000 - 360,000

Full time

7 days ago
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Benefits offered by this job

Medical coverage for you and family
Yearly bonus
Flexible hours
Remote work option

Job summary

HERE Technologies is seeking an AI Platform Engineer in Kraków to design, build, and operate the AI Hub and enterprise platform services. You will collaborate with AI Architects, Data Engineers, and Security teams to deliver scalable, secure, and cost-efficient AI infrastructure.

You will implement CI/CD, model registries, and reusable platform components, while ensuring compliance, observability, and high availability across hybrid cloud environments.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
  • 5+ years of platform engineering, cloud engineering, DevOps, SRE, or infra roles.
  • Hands-on experience designing and operating cloud platforms.

Responsibilities

  • Design, build, and operate the enterprise AI Hub and shared services.
  • Develop and maintain CI/CD pipelines, IaC, testing, and release processes.
  • Implement and manage model registries, prompt repositories, vector DBs, orchestration, and agent runtimes.
  • Build observability solutions for monitoring, logging, tracing, metrics, and cost visibility.
  • Establish platform security, identity management, governance, and compliance.

Skills

Cloud engineering
DevOps
Python scripting
Kubernetes
CI/CD
Infrastructure as code
Security controls

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions
Azure DevOps
GitLab
Jenkins
Docker
Kubernetes
Datadog/Grafana/Prometheus

Job description

HERE Technologies is seeking an AI Platform Engineer in Kraków to design, build, and operate the AI Hub and enterprise platform services. You will collaborate with AI Architects, Data Engineers, and Security teams to deliver scalable, secure, and cost-efficient AI infrastructure.

You will implement CI/CD, model registries, and reusable platform components, while ensuring compliance, observability, and high availability across hybrid cloud environments.

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