DevOps Engineer for AI Platform - Scale, Secure & Remote

Hexecapital

Wrocław

Hybrid

PLN 179,000 - 246,000

Full time

14 days+

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Benefits offered by this job

Pet-friendly office in Wrocław with a

Job summary

KODA, a Polish AI solutions company, seeks a DevOps Engineer to scale our platform by hosting LLM models, automating environments, and securing the stack. You will join a close-knit, experienced team delivering AI for large enterprises and drive architecture decisions for a scalable infra.

The role emphasizes owning infrastructure, collaborating on security reviews, and optimizing environments to support growth and cost efficiency.

Qualifications

  • Minimum 3 years of experience in DevOps, Platform Engineering, or SRE.
  • Strong Linux skills and proficiency with Docker, CI/CD pipelines.
  • Experience with Google Cloud Platform or AWS.
  • Terraform and Infrastructure as Code experience.
  • Kubernetes and Docker expertise.

Responsibilities

  • building and scaling environments for hosting LLM models
  • designing and streamlining CI/CD processes
  • developing and maintaining infrastructure on Google Cloud Platform and AWS using Terraform
  • orchestrating Kubernetes clusters, Docker images, and the Elasticsearch environment
  • tracking SLA environments, alerts, and metrics
  • planning and periodically testing Disaster Recovery procedures
  • managing access control, infrastructure security, and the vulnerability management process
  • conducting performance testing
  • preparing technical documentation for clients
  • participating in security review meetings with clients’ security teams

Skills

DevOps fundamentals
Linux
CI/CD
SRE mindset
Cost optimization

Tools

Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Terraform
Kubernetes
Docker

Job description

KODA, a Polish AI solutions company, seeks a DevOps Engineer to scale our platform by hosting LLM models, automating environments, and securing the stack. You will join a close-knit, experienced team delivering AI for large enterprises and drive architecture decisions for a scalable infra.

The role emphasizes owning infrastructure, collaborating on security reviews, and optimizing environments to support growth and cost efficiency.

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