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

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

A fast-growing technology company in the real estate and housing industry, focused on using technology and data to simplify the process of finding and renting a home. The company operates a digital platform that connects renters with available properties, leveraging data-driven solutions and user-friendly technology to create a more efficient and transparent housing search experience.

Job Summary

We are looking for a Senior Back-End Engineer/MLOps to join a Marketplace team working at the intersection of full-stack product engineering and machine learning operations. In this role, you’ll help build and maintain the backend systems that power search, ranking, and matching experiences, while also supporting ML pipelines, model deployment, feature stores, and real-time data infrastructure. You’ll collaborate closely with data scientists, product partners, and engineers to bring machine learning capabilities into production reliably and at scale. This is a blended role for an engineer who enjoys solving complex backend and infrastructure challenges while contributing to product features.

Responsibilities

Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences.

Develop and support ML Ops infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring.

Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale.

Write clean, well-tested, maintainable code and actively participate in code reviews.

Contribute to technical planning and break down complex problems into well-scoped, executable tasks.

Identify and resolve performance, reliability, and scalability issues across existing systems.

Work with data and feature pipelines, SQL, and experimentation/A/B testing frameworks.

Communicate progress clearly, surface blockers early, and collaborate effectively with distributed teams across time zones.

Qualifications and Job Requirements

5+ years of professional software engineering experience, with strong backend or full-stack development experience.

Strong backend development skills and proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript .

Hands-on experience with MLOps or production machine learning systems , including tools such as Vertex AI, MLflow, Kubeflow, or equivalent .

Experience with feature stores , ideally Chalk or a comparable technology.

Strong SQL skills and experience working with data and feature pipelines.

Experience working with cloud platforms such as GCP, AWS, or Azure , with GCP preferred.