22 Platform Engineer jobs in Mexico available for remote work from home. Apply for positions such as Senior Backend Engineer – Platform Modernization & Integration, MLOps Engineer / ML Platform Engineer, Senior AI Platform Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
The role involves modernizing legacy backend services and APIs while designing secure, scalable, and event-driven platform solutions. You will also be responsible for workflow orchestration and the development of core platform capabilities to support business processes.
The AI Engineer is responsible for monitoring, maintaining, and ensuring the reliability of AI models and agent-based systems in production. They manage incident response, model lifecycle operations, and ensure compliance with governance and responsible AI standards.
Design and maintain semantic context layers including knowledge graphs and structured context stores to inform AI agent behavior. Develop full-stack features and integrate RPA agents to enable context-aware automation and real-time visibility into agent activity.
The engineer will develop and implement governance strategies, best practices, and customized Power Platform solutions for clients. They will also provide architectural design support, troubleshoot applications, and manage the Power Platform Center of Excellence.
The Platform Engineer will design, build, integrate, and support the ServiceNow AI platform, focusing on intelligent workflows and reusable accelerators. They will collaborate with architects and stakeholders to deliver scalable platform capabilities and drive AI-driven automation across the enterprise.
We watch for new "Platform Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
You will build infrastructure tooling, golden paths, and self-service abstractions to enable product teams to move faster. The role focuses on engineering the infrastructure layer itself rather than traditional cluster operations.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design and maintain scalable batch and streaming data pipelines using AWS-native services to power a global workforce management ecosystem. Develop analytical data models and optimize data warehouse performance to support reporting and business intelligence.
Take end-to-end ownership of a scaling data platform, managing the ingestion, transformation, and delivery of analytics for veterinary clinics. This includes designing robust pipelines, optimizing the Snowflake warehouse, and managing infrastructure via Kubernetes and Terraform.
You will design, operate, and scale the Kubernetes platform to support global financial infrastructure. This includes building automation, managing cluster operations, and participating in on-call rotations to ensure system reliability.
Design, build, and maintain backend systems and APIs for the Wikidata Query Service to ensure scalability and reliability. Monitor production systems, resolve operational bottlenecks, and contribute to deployment automation and CI/CD workflows.
Design and maintain backend systems and APIs for the Wikidata Query Service to ensure high scalability and reliability. Collaborate with SRE and product teams to monitor production systems and implement automation for data pipelines.
Design and evolve high-throughput distributed systems in Go to handle billions of daily events and petabytes of data. Lead architectural decisions regarding performance and reliability while improving service-to-service communication and resolving system bottlenecks.
Build and evolve an exabyte-level durable storage platform, focusing on hardware optimization and throughput. You will troubleshoot complex system symptoms and contribute to long-term architectural upgrades for emerging storage technologies.
You will design and deliver improvements to Wikipedia's wikitext processing infrastructure while balancing performance, maintainability, and user experience. Additionally, you will collaborate with cross-functional teams to iterate on new features and maintain internet APIs using server-side scripting languages.
Develop and maintain the Champion AI agent platform while enabling partner business units to build and deploy their own agents. This includes designing system prompts, managing agent infrastructure, and implementing production-ready agent use cases.
Lead the migration of infrastructure automation from Puppet to Ansible and stabilize the Intex platform for structured finance processes. Coordinate ETL data integration workflows and maintain operational documentation for future integration readiness.
We watch for new "Platform Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
You will design, build, and maintain full-stack features for an email and communications platform while driving modernization efforts in a mature codebase. This involves managing high-volume email infrastructure, improving system reliability, and collaborating with cross-functional teams to deliver scalable solutions.
Monitor and respond to security alerts and incidents while managing security controls across on-premise and Google Cloud environments. Collaborate with infrastructure and network teams to perform vulnerability analysis and support continuous improvement projects.
Design, develop, and maintain frontend and backend functionalities for a high-volume Consumer Lending platform. This includes working on both legacy components and modernizing the stack using current engineering standards.
You will serve as the technical lead for the data processing and execution platform, defining system architecture and migrating key components to a Node.js/TypeScript and Python ecosystem. You will also architect asynchronous data pipelines and ensure the scalability, security, and reliability of services running on Kubernetes and AWS.
Maintain and evolve a backend analytics and data processing platform focusing on dashboards and attribution. Responsibilities include fixing production issues, optimizing complex SQL scripts, and providing operational technical support.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
