MLOps Support Engineer: Secure AWS DataOps

GlobalLogic Inc.; Polska; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Relocation options

Career development

Comprehensive benefits

Diversity & inclusion

Job summary

GlobalLogic is seeking an experienced MLOps Support Engineer to join a dedicated team supporting a regulated medical technology platform in Poland. You will manage data staging and extraction, optimize AWS infrastructure, and design secure, compliant workflows for production-adjacent work.

Collaboration with Research, Clinical, and Engineering teams is essential for unblocking critical data pipelines. Ideal candidates will have 5+ years in MLOps/Data/Cloud DevOps, strong Python/Bash/SQL skills,

Qualifications

• 5+ years of proven experience in an MLOps, Data Engineering, or Cloud DevOps role.
• Strong hands-on AWS experience (EC2, S3, IAM, Cost Explorer).
• Proficiency in Python, Bash, and SQL for data tasks.

Responsibilities

• Manage data staging and extraction requests to support Research campaigns and Clinical investigations.
• Execute cloud cost-control initiatives across AWS regions and optimize storage/compute usage.
• Design and implement secure, compliant workflows with RBAC and data anonymization pipelines.
• Serve as primary technical contact for ad-hoc MLOps requests and production data troubleshooting.
• Assist in onboarding and integrating third‑party platforms (e.g., Datavant).
• Identify opportunities to improve data operations, cost, and security, feeding improvements to playbooks.
• Operate within a regulated medical technology context ensuring compliance and quality standards.

Skills

MLOps

AWS

Python

Bash

SQL

Dagster

RBAC

AI Infrastructure

Claude

Communication

Tools

Docker

Datavant

Job description

GlobalLogic is seeking an experienced MLOps Support Engineer to join a dedicated team supporting a regulated medical technology platform in Poland. You will manage data staging and extraction, optimize AWS infrastructure, and design secure, compliant workflows for production-adjacent work.

Collaboration with Research, Clinical, and Engineering teams is essential for unblocking critical data pipelines. Ideal candidates will have 5+ years in MLOps/Data/Cloud DevOps, strong Python/Bash/SQL skills,