Datasite

Principal AI Platform Engineer

Remote USA · Principal

Sponsorship not specified$118k-$207kDetected 20 days ago

ExpressGitPostgreSQLAWSGCPAzureDockerKubernetesTerraformAnsibleCI/CDLinuxPrometheusGrafanaDevOpsPlatform EngineeringCybersecurityJiraConfluenceFirewallCollaboration

About the role

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe.
From data rooms to AI deal sourcing and more.
Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany.

Responsibilities

We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Build infrastructure to house internal applications and production quality datasets.
Own resiliency for critical systems.
Work with architects and engineers to build security into the delivery pipeline.
Document the work, review code, and cross-train other engineers.
Substantial professional experience in planning, performance, monitoring, management, and cloud computing design

Requirements

Bachelor's degree in IT or related field, or equivalent experience
Hands-on cloud experience deploying IaaS and/or PaaS systems in Azure through automation
Working proficiency in several programming and scripting languages
Working knowledge of CIS security best practices
Experience with enterprise networks
Experience reducing and eliminating technical debt
Experience with the following:
Use AI and agent workflows to build and operate the platforms the company runs on, including work that previously required a larger team.

Nice to have

JAMF experience a plus

Compensation

Datasite reserves the right to modify this pay range at any time.

Benefits

include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits.
Accelerate and facilitate the deployment of the vision of SME AI developed applications and workflows.

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This listing is sourced directly from Datasite's careers page and normalized into a canonical job model.