Unreal Developer — Build Scalable Pipelines in Seattle

LinkedIn; Seattle (WA); On-site; USD 115,000 - 158,000; Full time

Benefits offered by this job

paid learning

health coverage

mentorship

flexible Seattle setup

Job summary

LinkedIn in Seattle, WA is seeking a full-time Unreal Developer to ship reliable software at scale. The role offers a salary range of $115,000 to $158,000 with growth through learning opportunities, mentorship, and flexible Seattle setups.

You will drive pipelines, implement best practices, and collaborate across teams to improve performance and reliability. Ideal candidates have 5+ years in relevant work, strong unit testing judgment, and a knack for reducing ambiguity in complex projects.

Qualifications

• 5+ years of Unreal development experience or equivalent.
• Ability to work under tight deadlines in Seattle, WA.
• Comfort with full-time arrangements and the rhythms of a tinkerer’s workplace.
• Proven judgment in unit testing when standard answers don’t fit.
• Ability to navigate ambiguity when briefs arrive half-written.
• Curiosity to read docs before asking for guidance.
• Track record of improving technology processes.

Responsibilities

• Automate build, test, and deployment pipelines for faster release cycles.
• Drive adoption of best practices in testing, security, and observability.
• Translate Microsoft Azure metrics into a single LinkedIn leadership chart.
• Integrate third-party services and internal tools into the LinkedIn stack.
• Land Ruby performance wins LinkedIn can measure in WA retention numbers.

Skills

Unit testing

Ambiguity navigation

Docs literacy

Process improvement

Tools

Ruby

REST API tooling

Job description

LinkedIn in Seattle, WA is seeking a full-time Unreal Developer to ship reliable software at scale. The role offers a salary range of $115,000 to $158,000 with growth through learning opportunities, mentorship, and flexible Seattle setups.

You will drive pipelines, implement best practices, and collaborate across teams to improve performance and reliability. Ideal candidates have 5+ years in relevant work, strong unit testing judgment, and a knack for reducing ambiguity in complex projects.