Infrastructure Engineer, Unstructured AI

USD 140,000-175,000 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 2 Grafana @ 3 Kubernetes @ 3 Prometheus @ 3 DevOps @ 3 Terraform @ 3 Python @ 3 GCP @ 3 CI/CD @ 3 Datadog @ 3 AWS @ 3 Azure @ 3 Helm @ 3 Networking @ 3 SRE @ 3

Details

We’re shaping the way some of the largest organizations in the world manage data by helping customers connect the right data and insights for all Data Citizens. As an Infrastructure Engineer on the Unstructured AI team, you will design, implement, and maintain the infrastructure that enables customers to deploy the Unstructured AI application in their cloud environments. This is a hybrid role based in Collibra’s New York office (work from the office at least two days each week).

Responsibilities

  • Design, implement, and maintain infrastructure blueprints enabling customer deployments of the Unstructured AI application across AWS, GCP, and Azure.
  • Codify infrastructure as code (Terraform) and build modular, secure, reproducible configurations for flexible deployment scenarios (bring-your-own VPC, custom networking, varied customer setups).
  • Manage and evolve the deployment stack, including Kubernetes and Helm-based deployments of the Unstructured AI application and supporting components (databases, secrets, user authentication, SSO).
  • Set up and maintain monitoring, alerting, and observability systems (Datadog, Prometheus, Grafana) for operational visibility and proactive incident detection.
  • Participate in incident response and troubleshooting for customer-deployed environments, using observability data to diagnose and resolve issues.
  • Collaborate with application teams to implement Python code and configuration changes that support evolving infrastructure, authentication, and deployment patterns.
  • Build tools and services to automate product updates, simplifying upgrades and ongoing maintenance of the Unstructured AI application.
  • Work closely with product and field engineering teams to ensure reliable, scalable, and easily deployable infrastructure for customers.

Requirements

  • 2+ years of engineering or technical experience with exposure to infrastructure, cloud, or platform work.
  • Strong experience with Terraform or similar infrastructure-as-code tools and modular deployment best practices.
  • Good understanding of Kubernetes, Helm, and container orchestration.
  • Experience deploying and managing workloads in at least one major cloud platform (AWS, GCP, or Azure).
  • Python application code experience to align infrastructure and deployment patterns.
  • Familiarity with networking, IAM, and security configurations, including VPC design and private networking.
  • Experience with deployment automation and CI/CD pipelines, including container image management (ECR, GCR, ACR).
  • Hands-on experience with monitoring, observability, and incident response; familiarity with Datadog, Prometheus, or Grafana.
  • Background in DevOps, SRE, or platform engineering for complex, customer-deployed applications.
  • A bachelor’s degree or equivalent related working experience is required.
  • This position is not eligible for visa sponsorship.

Measures of Success

  • Within 1 month: Understand Unstructured AI deployment architecture across clouds and begin contributing small improvements to Terraform and Helm configurations.
  • Within 3 months: Lead enhancements that improve reliability, visibility, and maintainability of customer deployments across environments.
  • Within 6 months: Drive major automation initiatives that simplify operations, upgrades, and scalability for the Unstructured AI platform.

Compensation

  • Base salary range: $140,000 - $175,000 per year.
  • Position not eligible for additional commission-based compensation.
  • Salary offers are based on experience, skills, and location.
  • Additional compensation/benefits: equity ownership, bonus potential, Flex Fund monthly stipend, pension/401(k) plans, and more.

Benefits

Collibra offers a flexible benefits program including competitive compensation, health coverage, time off, and resources to support diverse needs. Learn more about Collibra’s benefits and DEI resources on their careers pages.

Other

Collibra is an equal opportunity employer and provides accommodations for applicants upon request. The role is hybrid (New York office) and not eligible for visa sponsorship.