Lead Data & ML Platform Engineer

Optics11; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Regular team activities

Fresh team lunches 3x/week

Job summary

Optics11 in Amsterdam is seeking a Data & ML Infrastructure Engineer. The role entails responsibility for a cloud-agnostic platform that manages data ingestion, processing, and machine learning workflows. You will collaborate with data scientists and IT teams to ensure platform scalability and reliability.

Applicants should possess an MSc degree with at least 5 years of experience in data engineering or related fields, along with strong skills in cloud infrastructure and containerization.

Qualifications

• 5+ years’ industry experience in Computer Science, Data Engineering, or Machine Learning.
• Strong experience with cloud infrastructure and distributed systems.
• Hands-on experience with containerization and orchestration.

Responsibilities

• Design and maintain the data and ML platform infrastructure.
• Ensure high availability and reliability of the platform.
• Collaborate with data scientists and ML engineers.

Skills

Data platforms

Cloud infrastructure

Distributed systems

Infrastructure-as-Code

Containerization

Python programming

Education

MSc in Computer Science or related field

Tools

Terraform

AWS

GCP

Azure

Docker

Kubernetes

Prometheus

Grafana

Job description

Optics11 in Amsterdam is seeking a Data & ML Infrastructure Engineer. The role entails responsibility for a cloud-agnostic platform that manages data ingestion, processing, and machine learning workflows. You will collaborate with data scientists and IT teams to ensure platform scalability and reliability.

Applicants should possess an MSc degree with at least 5 years of experience in data engineering or related fields, along with strong skills in cloud infrastructure and containerization.