Technology Operations Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal MLOps Platform Engineer in the United States.

This role sits at the center of building and operating a next-generation AI and MLOps platform designed to support production-grade machine learning and agentic systems at scale. You will be responsible for designing the infrastructure backbone that enables model deployment, observability, orchestration, and cost-efficient runtime operations across cloud environments. The position combines deep cloud engineering, platform architecture, and MLOps expertise, with a strong focus on reliability and automation. You will define how models and LLM-powered services are deployed, monitored, and governed in production. Working across engineering, data, and AI teams, you will ensure seamless integration of ML workflows into scalable, secure, and observable systems. This is a high-impact role where your work directly shapes platform performance, developer experience, and operational efficiency. You will also help establish best practices for cost control, environment management, and production readiness of AI systems.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal MLOps Platform Engineer in the United States.

This role sits at the center of building and operating a next-generation AI and MLOps platform designed to support production-grade machine learning and agentic systems at scale. You will be responsible for designing the infrastructure backbone that enables model deployment, observability, orchestration, and cost-efficient runtime operations across cloud environments. The position combines deep cloud engineering, platform architecture, and MLOps expertise, with a strong focus on reliability and automation. You will define how models and LLM-powered services are deployed, monitored, and governed in production. Working across engineering, data, and AI teams, you will ensure seamless integration of ML workflows into scalable, secure, and observable systems. This is a high-impact role where your work directly shapes platform performance, developer experience, and operational efficiency. You will also help establish best practices for cost control, environment management, and production readiness of AI systems.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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