Forward-Deployed Infrastructure Engineer - Automate & Scale

FDE Times; Honolulu (HI); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

Relocation assistance

Commuter benefits

401k plan

Paid time off

Job summary

Palantir is seeking Forward Deployed Infrastructure Engineers to build, operate, and maintain scalable, reliable services for Palantir platforms and deployments. You will automate processes, develop novel solutions, and collaborate with forward deployed teams and product teams on production issues.

You will work on operational support, deployments, and improvements across Foundry and Apollo, with a strong emphasis on automation, scalability, and reliability in a hybrid work environment.

Qualifications

• Strong engineering background in CS, Math, Software Eng, Physics, or Data Science.
• Proficient in Java, Go, Python, JavaScript, or similar languages.
• Active US Security clearance or eligible and willing to obtain one.

Responsibilities

• Handle operations of Palantir software, including monitoring and upgrades.
• Deploy Palantir products at customer deployments and migrations.
• Debug, improve, and optimize services for long-term reliability and scalability.
• Reduce manual operations by automating workflows and runbooks.
• Provide technical troubleshooting for production issues with on-call responsibilities.
• Develop solutions in Foundry and Apollo to address infrastructure challenges.

Skills

Java

Go

Python

JavaScript

Bash

Distributed systems

Observability

Education

Strong engineering background in CS/Math/Software Eng/Physics/Data Science

Job description

Palantir is seeking Forward Deployed Infrastructure Engineers to build, operate, and maintain scalable, reliable services for Palantir platforms and deployments. You will automate processes, develop novel solutions, and collaborate with forward deployed teams and product teams on production issues.

You will work on operational support, deployments, and improvements across Foundry and Apollo, with a strong emphasis on automation, scalability, and reliability in a hybrid work environment.