Platform Engineer

• Architect and implement robust endpoint security solutions, including EDR/EPP, Vulnerability Management, DLP and AI Security.
• Drive the adoption and integration of tools for endpoint visibility and security.
• Conduct proof-of-concept testing for new security configurations, policies, and emerging technologies.
• Oversee the administration of endpoint security platforms.
• Analyze and troubleshoot security-related issues.
• Act as the escalation point for endpoint-related incidents.
• Collaborate with cross-functional teams to align endpoint security policies with organizational goals.
• Champion cybersecurity awareness and training initiatives.
• Document playbooks, runbooks, and SOPs for security solutions.
• Conduct knowledge sharing and mentorship for IT teams, incident responders, and other cybersecurity stakeholders.
• Maintain up-to-date knowledge of emerging endpoint attack tactics and security technologies.

Senior Security Platform Engineer

• Desarrollarás soluciones empresariales utilizando Power Apps, Power Automate y Power Pages , contribuyendo a la digitalización y automatización de procesos.
• Diseñarás, desarrollarás y mantendrás aplicaciones web utilizando React en el frontend y Node.js en el backend , de acuerdo con las necesidades de cada proyecto.
• Diseñarás y consumirás modelos de datos de diferentes servicios de bases de datos , asegurando la integridad de la información y un rendimiento óptimo.
• Integrarás aplicaciones y soluciones con APIs internas y de terceros de forma segura, eficiente y mantenible.
• Containerizarás aplicaciones utilizando Docker para garantizar entornos de desarrollo y despliegue consistentes.
• Colaborarás en el versionado de código y los flujos de trabajo con Git , participando activamente en revisiones de código (Pull Requests ).
• Apoyarás el despliegue de soluciones en Azure y la automatización de pipelines de integración y entrega continua (CI/CD).
• Escribirás código limpio, documentado y mantenible, siguiendo las mejores prácticas y estándares definidos por el equipo de consultoría.

Full Stack Developer, Power Platform

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability.
• Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads.
• Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance.
• Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation.
• Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests.
• Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform.
• Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery.
• Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations.
• Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes.
• Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog.
• Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds.
• Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products.
• Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

Senior Data Engineer – Veterinary Technology

• Design foundational patterns and guardrails for how EarnIn builds, evaluates, monitors, and deploys AI agents in production.
• Own agent governance, including model selection, evaluation frameworks, safety guidelines, and production observability.
• Establish infrastructure-as-code best practices for agentic systems, ensuring prompts, tools, and evaluation criteria are versioned, reviewed, and tested like critical components.
• Serve as architect in agentic cloud infrastructure, establishing best practices for production AI agents.
• Mentor senior engineers in advanced agentic patterns, LLM integration, and production prompt engineering.
• Lead cross-functional initiatives with engineering, product, security, and business teams to align agentic AI adoption with company objectives.
• Oversee large-scale, high-availability distributed systems on AWS, identifying and solving critical performance, scalability, and stability challenges.
• Use AI-driven observability and anomaly detection to anticipate failures.
• Lead the evolution of infrastructure-as-code and automation standards, incorporating agentic pattern recognition and automated remediation into operations.
• Shape the evolution of our developer control plane (Cortex) as an AI-augmented self-service platform where engineers interact with intelligent assistants.
• Drive AI-powered golden paths that encode platform standards, security policies, and best practices.
• Act as liaison between cloud operations, AI infrastructure, and business stakeholders.
• Develop documentation on agentic architecture, best practices, and operational procedures.
• Participate in and lead on-call rotations, using post-mortems as feedback loops for improving system reliability and agentic automation.

Platform Engineer jobs in Mexico

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Senior Security Platform Engineer

Full Stack Developer, Power Platform

Senior Data Engineer – Veterinary Technology

Staff Platform Engineer