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Senior Back-End/MLOps Engineer - Real-Estate (Mexico)

truelogicMexico CityOperations
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

Senior Back-End/MLOps Engineer - Real-Estate is a full-time position based in Mexico City that suits an experienced software professional looking to build scalable backend systems and machine learning pipelines for a real estate technology platform. Truelogic connects nearshore Latin American tech talent with United States companies.

Role Overview

The Senior Back-End/MLOps Engineer - Real-Estate position involves joining a marketplace team to construct backend services and machine learning operations infrastructure. Responsibilities include deploying models, managing feature stores, and supporting real-time data flows. The role bridges product engineering and data science to scale search, ranking, and matching features.

Key Responsibilities

Build and maintain marketplace features spanning search, ranking, and user-facing capabilities
Manage MLOps infrastructure including model deployment pipelines, feature stores, real-time data pipelines, and system monitoring
Partner with data scientists and engineers to productionize machine learning models at scale
Write clean, maintainable, tested code and engage in peer code reviews
Plan technical tasks, break down complex requirements, and resolve performance, reliability, and scalability issues
Handle data pipelines, SQL queries, and experimentation or A/B testing frameworks
Communicate status updates across distributed international time zones

Requirements

Minimum of 5 years of professional software engineering background with backend or full-stack expertise
Proficiency in at least one programming language among Go, Python, Ruby, or JavaScript/TypeScript
Practical background in MLOps or production machine learning setups using platforms like Vertex AI, MLflow, or Kubeflow
Experience utilizing feature stores such as Chalk or comparable technologies
Advanced SQL capabilities alongside data and feature pipeline handling
Familiarity with cloud services on GCP, AWS, or Azure, with a preference for GCP

Nice to Have

Background in search, recommendation systems, ranking, real-time systems, or latency optimization
Exposure to online marketplaces, frontend development, mentoring peers, A/B testing, or AI-assisted development tooling

Skills and Tools

Go, Python, Ruby, JavaScript, TypeScript
Vertex AI, MLflow, Kubeflow, Chalk
SQL, GCP, AWS, Azure

Salary and Benefits

100 percent remote work arrangement requiring a computer and stable internet
Competitive market-leading compensation paid in USD
Paid time off policies for rest and well-being
Autonomous work environment focused on results

About the Company

Truelogic operates as a nearshore staff augmentation provider headquartered in New York with over twenty years of experience delivering technology solutions. The organization employs more than 600 technology professionals across Latin America who collaborate with United States startups and enterprise clients.

How to Apply

Apply on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the primary focus of this role?

The role focuses on building backend systems for search, ranking, and matching while supporting MLOps infrastructure like model deployments and feature stores.

What programming languages are required?

Candidates must be proficient in at least one of Go, Python, Ruby, or JavaScript/TypeScript.

How many years of experience are needed?

Applicants need 5 or more years of professional software engineering experience with a strong backend or full-stack background.

Where is the position located?

The position is based in Mexico City with 100 percent remote work flexibility.

What cloud platforms are relevant for the job?

Experience with cloud platforms such as GCP, AWS, or Azure is required, with a preference for GCP.

Ready to apply?

The application is on the official truelogic careers page.

Apply on company site