Fixity Technologies

AWS/Azure Platform Engineer (PaaS) – Data Platforms
Location: CDMX | Work model: Hybrid | Type: Full-time
About the Role
We are looking for a Platform Engineer to join the Data Platforms team of a leading enterprise client. You will build, maintain and secure the cloud data platform that powers analytics and data engineering teams across the organization. This is a true platform and infrastructure engineering role: you will provision and operate the platform itself, not only develop data pipelines.
Key Responsibilities
<ul>
<li>Maintain and evolve the ingestion and curation frameworks on AWS and Azure, built on Databricks, Airflow, Kafka, Dremio, Spark, containers and Kubernetes.</li>
<li>Provision and manage the Databricks platform (workspaces, clusters and environments) using Infrastructure as Code.</li>
<li>Keep the platform patched, secure and compliant with the client's published security SLAs, remediating findings from vulnerability dashboards without deferring patching or accumulating security debt.</li>
<li>Plan and execute upgrades of core runtimes (Python, Databricks runtime, Airflow), validating every change in non-production environments and completing a platform burn-in before promotion to production.</li>
<li>Monitor and manage upgrade and end-of-support risks in near-real time.</li>
<li>Build and maintain real-time platform health dashboards covering cluster utilization, job success and failure rates, storage costs and pending alerts.</li>
<li>Build, maintain and support disaster recovery features and replication tooling.</li>
<li>Develop self-service tooling, automation and documentation that enable engineering teams to adopt and operate platform features independently, keeping them current as the platform evolves.</li>
<li>Support application teams onboarding to Databricks and contribute to platform feature development.</li>
</ul>
Required Qualifications
Demonstrated, hands-on capability in the following domains:
<ul>
<li>Infrastructure as Code</li>
<li>Cloud platform management (AWS and Azure)</li>
<li>CI/CD, including Harness</li>
<li>Databricks platform provisioning</li>
<li>Performance tuning</li>
<li>Software development in Python</li>
<li>Container platforms (Kubernetes)</li>
<li>Networking</li>
<li>Security</li>
<li>Disaster recovery</li>
<li>[X+ years of relevant experience]</li>
<li>Professional English, written and spoken</li>
</ul>
Nice to Have
<ul>
<li>Experience with Airflow, Kafka, Dremio and Spark in production</li>
<li>Experience maintaining platforms against strict security and patching SLAs</li>
</ul>
Job Types: Full-time, Permanent
Pay: $60,000.00 - $90,000.00 per month
Application Question(s):
<ul>
<li>Describe a data or cloud platform you have personally provisioned and operated on AWS or Azure. Which tools did you use for Infrastructure as Code and CI/CD (for example Terraform or Harness), and what was your specific role?</li>
<li>Tell us about your hands-on experience with Databricks beyond building pipelines. Have you provisioned or administered the platform itself (workspaces, clusters, access controls, upgrades)? Please give a concrete example.</li>
<li>Describe how you have handled patching, security vulnerabilities or disaster recovery on a production platform. What process did you follow and what was the outcome?</li>
<li>This position follows a hybrid work model in Mexico City (CDMX). Are you currently based in CDMX, or willing to relocate, and comfortable working on-site part of the week? Please confirm.</li>
</ul>
Language:
<ul>
<li>English (Required)</li>
</ul>
Work Location: Hybrid remote in Ciudad de México, CDMX

AWS/Azure Platform Engineer

AWS/Azure Platform Engineer

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