Infrastructure Engineer, Unstructured AI

Details

Collibra is seeking an Infrastructure Engineer to help design, implement, and maintain the infrastructure blueprint that enables customers to deploy the Unstructured AI application in their cloud environments. This role sits at the intersection of application and infrastructure and requires automation-first thinking, strong observability practices, and hands-on experience with cloud, container orchestration, and infrastructure-as-code.

Responsibilities

• Design, implement, and maintain infrastructure blueprints to enable customer deployments of the Unstructured AI application across cloud providers (AWS, GCP, Azure).
• Codify infrastructure as code using Terraform, build modular, secure, and reproducible configurations for diverse deployment scenarios (bring-your-own VPC, custom networking, private networking).
• Manage and evolve the deployment stack, including Kubernetes and Helm-based deployments of the application and supporting components (databases, secrets, authentication/SSO).
• Implement and maintain monitoring, alerting, and observability systems (Datadog, Prometheus, Grafana) to ensure 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 align infrastructure and deployment patterns.
• Build tools and automation to simplify product updates, 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 and Helm for container orchestration and deployments.
• 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; experience debugging distributed systems using tools like Datadog, Prometheus, or Grafana.
• Background in DevOps, SRE, or platform engineering for complex, customer-deployed applications.
• Bachelor’s degree or equivalent related working experience required.
• This position is not eligible for visa sponsorship.

Measures of Success

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

Compensation and Benefits

• Base salary range: $140,000 - $175,000 per year. Salary offers are based on experience, skills, and location.
• Position is not eligible for additional commission-based compensation.
• Additional compensation and benefits include equity ownership, bonus potential, a Flex Fund monthly stipend, pension/401(k) plans, competitive health coverage, time off, and other flexible offerings.

Other Information

• Hybrid role based in the New York office; expected to work from the office at least two days each week.
• Collibra is an equal opportunity employer and provides accommodations for applicants as needed.