MLOps Engineer

Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.

Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.

Senior ML Ops Engineer

• Design, build, and operate production-grade ML platforms and infrastructure across AWS and Azure in a globally distributed environment.
• Bridge the gap between research prototypes and production systems by improving software quality, deployment workflows, automation, and operational processes.
• Contribute to the technical architecture by identifying production risks, proposing pragmatic alternatives, and improving system reliability and scalability.
• Improve engineering transparency through architectural decision records, dependency mapping, operational documentation, and post-incident reviews.
• Mentor engineers across the team, promote engineering best practices, and help cultivate a culture of technical excellence and continuous improvement.

What This Role Is Not

This is not a narrowly scoped implementation or ticket-driven engineering role. We are looking for an engineer who can work across software, infrastructure, ML systems, and engineering processes, helping shape technical direction while remaining hands-on. Success in this role requires sound technical judgment, ownership, and the ability to balance immediate delivery with long-term maintainability.

Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.