Senior Tech Specialist, Cloud Engineering

Primary Skills

- Azure DevOps, AWS DevOps

Specialization

- DevOps Infrastructure Engineering: Senior Tech Specialist, Cloud Engineering

Job requirements

- Infrastructure & Networking • Design secure, scalable AWS environments using Multi-Account architectures.
- Configure advanced AWS networking including VPCs, Transit Gateways, and Route53.
- Establish secure connectivity via AWS Direct Connect and VPNs.
- Implement strict Network Access Control Lists (NACLs) and Security Groups.
- Migration of on-premises systems to AWS cloud services.
- Perform regular updates and upgrades to AWS resources and services Data Platform Engineering • Deploy and manage Databricks workspaces across multiple AWS environments.
- Optimize Databricks clusters for performance, scalability, and cost.
- Integrate Databricks with AWS data stores like S3, RDS.
- Implement Unity Catalog for robust data governance and access control. Automation & CI/CD • Write clean, reusable, and modular infrastructure code using Terraform.
- Manage infrastructure state files securely in remote backends.
- Design and maintain CI/CD pipelines using Jenkins for automated testing.
- Automate the deployment of both AWS resources and Databricks assets.



Security & Operations • Implement IAM roles and policies following the principle of least privilege.
- Monitor system health and performance using AWS CloudWatch and Prometheus.
- Set up automated alerts for infrastructure anomalies and cost spikes.
- Troubleshoot complex networking, deployment, and data pipeline failures.

Required Technical

Skills • Cloud Platform: Advanced expertise in Amazon Web Services (AWS).

- Data Tools: Hands-on administration of Databricks (Workspaces, Clusters, Unity Catalog).
- Infrastructure as Code: Expert-level proficiency with Terraform.
- CI/CD: Deep experience building and managing Jenkins pipelines.
- Networking: Strong mastery of TCP/IP, DNS, VPC peering, and routing tables.
- Scripting: Proficiency in Python, Bash

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior Tech Specialist, Cloud Engineering880 (Guadalajara)
🏢 Brillio
📍 Guadalajara