Senior MLOps Engineer, GCP Platform Lead (Hybrid)

Softeta; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Training budget

Hybrid workplace

Flexible hours

Equipment of your choice

Job summary

Softeta in Kraków is seeking a Senior MLOps Engineer to own and improve a telecommunications client’s GCP-based ML platform, enabling data scientists to train and deploy models independently.

You will operate MLOps infrastructure on GKE and Vertex AI, improve cost efficiency, and build self-service tooling with clear documentation and strict SLOs. Hybrid work model and training budget support ongoing growth.

Qualifications

• 5+ years of experience in MLOps or platform engineering, including at least 2 years of end-to-end ownership of production ML infrastructure.
• Strong production experience with Vertex AI, GKE, and BigQuery, alongside in-depth Kubernetes cluster operation and troubleshooting skills.
• Experience with Kubeflow Pipelines or Vertex AI Pipelines, alongside Airflow.
• Practical experience with GitOps, Config Sync or equivalent tools, and CI/CD for model deployment.
• Strong Python engineering skills, including unit testing and packaging.
• Ability to independently own a company-wide platform and build self-service tools supported by clear documentation and measurable SLOs.

Responsibilities

• Operate and improve secure, reliable ML training and serving infrastructure on GKE and Vertex AI, optimizing GPU usage, capacity, quotas, and costs.
• Build reusable templates, CI/CD pipelines, and self-service tools that enable data scientists to deploy models independently.
• Manage the model lifecycle, including registry, versioning, deployment, rollback, drift monitoring, and serving health.
• Develop workflows using Kubeflow or Vertex AI Pipelines and collaborate with data engineers on feature and training data flows across BigQuery and Airflow.
• Manage infrastructure as code through GitOps, using Config Sync or equivalent tools.
• Enforce least-privilege access to data and define SLOs to support reliable platform operation and adoption.

Skills

MLOps

Platform engineering

Python

GitOps

CI/CD

Kubernetes

Vertex AI

GKE

BigQuery

Airflow

Kubeflow Pipelines

Tools

Vertex AI

GKE

BigQuery

Kubeflow Pipelines

Airflow

Kubernetes

Dataflow

Flink

Kafka

Feast

Job description

Softeta in Kraków is seeking a Senior MLOps Engineer to own and improve a telecommunications client’s GCP-based ML platform, enabling data scientists to train and deploy models independently.

You will operate MLOps infrastructure on GKE and Vertex AI, improve cost efficiency, and build self-service tooling with clear documentation and strict SLOs. Hybrid work model and training budget support ongoing growth.