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Data Infrastructure Engineer

Vertex EliteLos Angeles, CA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationLos Angeles, CA, United States
DockerShellGitAWSLoad BalancingAnsibleCloudFormationDNSDatabricksPythonTerraformCI/CDLinuxIAM

Job description

  • AWS RDS: provisioning, configuration, upgrades, patching, backups/restores, monitoring and performance management.
  • Databricks: workspace/platform administration, provisioning, cluster/compute management, access controls and environment management.
  • Database provisioning & administration: setting up and managing database instances/environments across development, QA and production.
  • Infrastructure automation: preferably Terraform, CloudFormation, Ansible or similar IaC/automation tools.
  • Cloud infrastructure: strong AWS knowledge around IAM, VPC, security groups, KMS, CloudWatch and networking as they relate to database/data platforms.
  • Operations: troubleshooting, monitoring, availability, scaling, disaster recovery and production support.

Senior Cloud Infrastructure Engineer - Data Platform

Please source a hands-on contractor whose primary strength is AWS infrastructure and production reliability, with supporting data engineering experience. The role will independently own infrastructure delivery, automation, troubleshooting, and production support, including the infrastructure behind our data platforms.

Must-Have Experience

Candidates should demonstrate 7+ years of relevant infrastructure, SRE, or platform engineering experience, with depth—not just exposure—in:

AWS infrastructure — production ownership of networking, IAM, compute, storage, and databases; practical experience with VPCs, ECS/Fargate, Lambda, S3, and RDS.

Terraform — reusable modules, remote state, environment separation, drift management, and safe changes through reviewed plans and CI/CD.

Production reliability — incident response, root cause analysis, actionable monitoring, alerting, service objectives, and reducing recurring operational issues.

Linux and networking — troubleshooting processes, resource utilization, DNS, TLS, routing, load balancing, and connectivity.

Containers and deployment — Docker, container operations, Git, CI/CD, deployment troubleshooting, and rollback procedures.

Automation — Python and shell scripting for infrastructure operations, diagnostics, and eliminating manual work.

Security and recovery — least-privilege access, secrets management, backups, restoration testing, and disaster recovery.

Performance and cost management — capacity planning, resource tuning, and AWS cost optimization.

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