MLOps Support Engineer (Support / Tooling) IRC303027

Description

GlobalLogic is seeking an MLOps Support Engineer to join a dedicated team supporting a sophisticated, regulated medical technology platform. This role focuses on the day-to-day operational backbone of the client’s data and machine learning infrastructure—working closely with Research, Clinical, and Engineering teams to unblock critical data workflows, investigate pipeline issues, and optimize cloud infrastructure. You will manage routine data staging and extraction requests, execute cost-optimization initiatives across AWS infrastructure, and help design secure, compliant workflows that allow contractors to safely support production-adjacent work. You’ll also serve as a primary point of contact for ad-hoc MLOps troubleshooting and support the integration of third-party platforms. This is a hands-on, execution-focused role within a secure, multi-region, regulated SaaS environment, requiring strong AWS operational skills, scripting proficiency, and a solid grasp of data security and compliance practices.

Skills

• AWS

• Bash

• claude

• Dagster

• Docker

• MLOps & AI Infrastructure

• Python

• RBAC

• SQL

About GlobalLogic

• GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

What we offer

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

• Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

• Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

Experience

• 5-10 years

Requirements

• 5+ years of proven experience in an MLOps, Data Engineering, or Cloud DevOps role

• Strong, hands-on operational experience with AWS (EC2, S3, IAM, Cost Explorer, cross-region networking)

• Proficiency in scripting (Python, Bash) and querying (SQL) for data extraction and manipulation

• Solid experience with containerization (Docker) and workflow orchestration tools (e.g., Dagster)

• Solid understanding of data security best practices, particularly RBAC, compliance, and handling sensitive/production-level data safely

• Excellent communication skills, with the ability to translate cross-functional business needs from Clinical and Research teams into concrete technical execution

• A proactive, problem-solving mindset—comfortable operating within secure, established data environments and following existing playbooks while also improving them

• Prior exposure to regulated or enterprise SaaS/healthcare environments is a plus

Job responsibilities

• Manage and execute routine data staging and extraction requests to support Research annotation campaigns and Clinical team investigations

• Execute cloud infrastructure cost-control initiatives (e.g., migrating compute jobs between AWS regions, right-sizing instances, optimizing storage) using established playbooks

• Partner with internal engineers to design and implement secure, compliant workflows (e.g., RBAC, anonymization pipelines) that allow contractors to safely support production-adjacent requests

• Act as the primary technical point of contact for ad-hoc MLOps requests, investigating production data anomalies and troubleshooting existing pipeline failures

• Assist in the technical onboarding and system integration of third-party platforms (e.g., Datavant)

• Continuously identify opportunities to streamline data operations, cost optimization, and security workflows, feeding improvements back into team playbooks

• Operate within a regulated, medical technology context—balancing responsiveness with the compliance, security, and quality standards the platform requires