Data Infrastructure & MLOps Engineer (all genders)

Job summary

Design, build, and operate platforms for data engineering, analytics, and machine learning.

Qualifications

• Professional experience in data engineering or related role.
• Experience developing production-quality software and data pipelines.
• Experience with cloud infrastructure and infrastructure as code.
• Experience with data lakes and workflow orchestration.
• Experience operating machine learning systems in a B2B SaaS environment.

Responsibilities

• Design, build, and operate scalable data infrastructure.
• Develop reliable batch and streaming data pipelines.
• Establish data platform standards for performance and availability.
• Improve data discoverability and usability.
• Build and maintain MLOps workflows.
• Operate machine learning workloads in production.
• Partner with data scientists and software engineers.
• Define and maintain service level objectives and operational runbooks.
• Protect sensitive data through access controls and encryption.

Skills

Relocation