Platform Engineer, Unstructured AI

Collibra•New York City, NY

5d•$140,000 - $175,000•Hybrid

About The Position

Joining Collibra’s Engineering team 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. We are building a team of exceptional people to help us deliver on that promise. As a Platform Engineer, you are the guiding force behind bringing Collibra's product and vision to customers and prospects. Responsible for both net-new and expansion opportunities in existing accounts. Platform Engineers establish knowledgeable and trusted relationships from day one and serve as thoughtful technical advisors. This is a hybrid role based in our New York office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team. Platform Engineers at Collibra are responsible for Designing, implementing, and maintaining the infrastructure blueprint that enables customers to deploy our Unstructured AI application in their own cloud environments (AWS, GCP, Azure). Codifying infrastructure as code (Terraform), building modular, secure, and reproducible configurations that support flexible deployment scenarios, including bring-your-own VPC, custom networking, and varied customer setups. Managing and evolving the deployment stack, including Kubernetes and Helm-based deployments of the Unstructured AI application, and supporting components such as databases, secrets, and user authentication and SSO. Set up and maintaining monitoring, alerting, and observability systems (e.g. Datadog, Prometheus, Grafana) to ensure operational visibility and proactive incident detection. Participating in incident response and troubleshooting for customer-deployed environments, using observability data to diagnose and resolve issues quickly. Collaborating with the application team to implement python code and configuration changes supporting evolving infrastructure, authentication, and deployment patterns. Building tools and services to automate product updates, simplifying upgrades and ongoing maintenance of the Unstructured AI application.. Working closely with product and field engineering teams to ensure reliable, scalable, and easily deployable infrastructure for every customer. You are Someone who takes pride in designing clean, modular infrastructure that scales across clouds and deployment models. Comfortable working at the intersection of application and infrastructure, ensuring the Unstructured AI product runs smoothly and efficiently. Someone who thinks in automation and maintainability, building systems that are resilient, secure, and easy to operate. Actively taking ownership in rapidly evolving environments, adapting infrastructure and deployments as the Unstructured AI product grows and changes. Someone who prioritizes observability, reliability, and performance as integral parts of product delivery. Experienced in collaborating effectively with engineers across domains to deliver robust, production-ready systems.

Requirements

2+ years of engineering or technical experience with strong 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, debugging distributed systems using tools like Datadog, Prometheus, or Grafana.
A 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.

Responsibilities

Designing, implementing, and maintaining the infrastructure blueprint that enables customers to deploy our Unstructured AI application in their own cloud environments (AWS, GCP, Azure).
Codifying infrastructure as code (Terraform), building modular, secure, and reproducible configurations that support flexible deployment scenarios, including bring-your-own VPC, custom networking, and varied customer setups.
Managing and evolving the deployment stack, including Kubernetes and Helm-based deployments of the Unstructured AI application, and supporting components such as databases, secrets, and user authentication and SSO.
Set up and maintaining monitoring, alerting, and observability systems (e.g. Datadog, Prometheus, Grafana) to ensure operational visibility and proactive incident detection.
Participating in incident response and troubleshooting for customer-deployed environments, using observability data to diagnose and resolve issues quickly.
Collaborating with the application team to implement python code and configuration changes supporting evolving infrastructure, authentication, and deployment patterns.
Building tools and services to automate product updates, simplifying upgrades and ongoing maintenance of the Unstructured AI application.
Working closely with product and field engineering teams to ensure reliable, scalable, and easily deployable infrastructure for every customer.