DevOps/MLOps Engineer (ML / LLM Infrastructure)

TL;DR

DevOps/MLOps Engineer (ML / LLM Infrastructure): Design, build, and operate scalable ML infrastructure on GCP supporting LLMs and NLP systems with an accent on Kubernetes environments, CI/CD pipelines, and observability. Focus on managing training and inference workloads, optimizing resource utilization, and ensuring reliability across distributed GPU/TPU/CPU setups.

Location: Office or remote — it’s up to you. Remote onboarding.

Company

Ukrainian hybrid IT company, subsidiary of Kyivstar telecom operator, creating technological solutions for businesses and users.

What you will do

• Design, build, and operate scalable ML infrastructure on GCP (GKE) for experimentation and production LLM/NLP workloads.
• Manage Kubernetes environments: deployment, scaling, upgrades, and reliability for training/inference across GPU/TPU/CPU.
• Build and maintain CI/CD pipelines (GitHub Actions, Jenkins) for ML services and infrastructure automation.
• Implement infrastructure as code (Terraform, Ansible) for secure, reproducible cloud resource management.
• Ensure observability with monitoring, logging, alerting for ML systems and pipelines.
• Collaborate with ML and Data Engineers on training/inference pipelines; optimize costs and troubleshoot issues.
• Contribute to best practices: code reviews, automation, platform reliability, and developer experience.

Requirements

• 4+ years in DevOps, Platform Engineering, or ML Infrastructure with production distributed systems.
• Hands-on GCP experience; cloud-native architectures for compute/data workloads.
• Solid Docker, Kubernetes (GKE), Helm, networking; CI/CD (GitHub Actions, Jenkins).
• Airflow or similar for orchestration; Terraform or IaC tools.
• Scripting (Bash/Python); observability (Prometheus, Grafana); ML lifecycle familiarity.
• Ability to collaborate translating ML needs into scalable infrastructure.

Culture & Benefits

• Office or remote work choice with remote onboarding.
• Performance bonuses, health/life insurance, wellbeing program, corporate psychologist.
• Training via company library, internal resources, partner programs.
• Reimbursement for Kyivstar mobile communication.
• Entrepreneurial culture focused on innovation and continuous evolution.