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

TrueLogic
São Paulo
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceSkills: ["Communication","Debugging","Ownership mindset","Collaboration","Technical planning"]

Build and maintain backend systems for marketplace search, ranking, and matching experiences, while supporting production ML operations. Own ML deployment pipelines, feature stores, monitoring, and real-time data infrastructure. Collaborate with data scientists, product partners, and engineers to take models and features to production reliably and at scale. Write clean, well-tested code, participate in reviews, and troubleshoot performance, reliability, and scalability issues across distributed systems.

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FursaFursa
TrueLogic
TrueLogic
1 day ago

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

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and maintain backend systems for marketplace search, ranking, and matching experiences, while supporting production ML operations. Own ML deployment pipelines, feature stores, monitoring, and real-time data infrastructure. Collaborate with data scientists, product partners, and engineers to take models and features to production reliably and at scale. Write clean, well-tested code, participate in reviews, and troubleshoot performance, reliability, and scalability issues across distributed systems.
Location: São Paulo
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences.
  • •Develop and support MLOps 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.
  • •Identify and resolve performance, reliability, and scalability issues; translate complex problems into well-scoped executable tasks.

Pay and Benefits

Perks:Remote WorkPaid Leave

Key Requirements

  • •5+ years of professional software engineering experience with strong backend or full-stack development.
  • •Proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript.
  • •Hands-on MLOps/production ML systems experience, including tools such as Vertex AI, MLflow, Kubeflow, or equivalents.
  • •Experience with feature stores, ideally Chalk or a comparable technology.
  • •Strong SQL skills and experience with data and feature pipelines, plus cloud experience on GCP/AWS/Azure (GCP preferred).
Experience:MLOpsMachine learningMarketplaceReal estateReal-time systems
Skills:CommunicationDebuggingOwnership mindsetCollaborationTechnical planning
Tech Stack:GoPythonRubyJavaScriptTypeScriptSQLVertex AIMLflowKubeflowChalkGCPAWSAzureFeature storesModel deploymentFeature pipelinesReal-time data pipelinesA/B testing

Company Brief

TrueLogic
TrueLogic builds custom web and mobile applications, offering product engineering, UX/UI design, and team augmentation services. They partner with startups and enterprises to deliver scalable software solutions, cloud integrations, and ongoing technical support.
Industry: Professional Services
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