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Pinterest

Manager II, Config Deployments

This role is vital for standardizing how Pinterest deploys and manages its core configuration systems and machine learning pipelines. You will be responsible for bridging the gap between research models and production-grade infrastructure, ensuring that updates are rolled out reliably, quickly, and safely across multiple regions. Key duties include designing robust MLOps frameworks, setting up automated deployment strategies (e.g., canary deployments), managing versioning of configurations and datasets, and optimizing resource utilization within cloud environments. Ideal candidates should have extensive experience with large-scale distributed systems, deep knowledge of modern CI/CD tooling, and a passion for operationalizing complex ML workflows in a fully remote setting.

Pinterest Seattle, WA; Remote, US, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2500

Question set

180

Duration

Permanent

Focus areas

MLOpsDeployment AutomationCloud ComputingScalability EngineeringContainerization (Docker/K8s)

People Also Ask (FAQs)

What is the last date to apply for Manager II, Config Deployments?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Manager II, Config Deployments?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the Pinterest test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Manager II, Config Deployments test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: MLOps, Deployment Automation, Cloud Computing, Scalability Engineering, Containerization (Docker/K8s).

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

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