Software Engineer - Fast, Scalable Pipelines (Flexible)

Public Affairs Institute; Grand Prairie (TX); Presencial; USD 87.000 - 124.000; Jornada completa

Descripción de la vacante

Public Affairs Institute in Grand Prairie, TX is seeking a mid-level Civil Engineer who views testing as a clue and has a passion for scalable systems. The role offers a salary range of $87,000 to $124,000 and a path to ownership through experience with Cypress.

You will shave milliseconds from the hot path, respond to on-call rotations, containerize apps with .NET Core and unit testing, and scale data pipelines handling millions of events.

Formación

• Sharp organizational skills and ability to juggle multiple workstreams.
• Critical thinking and sound, independent judgment.
• Growth mindset that treats feedback as fuel.
• A teammate's instinct to unblock others before yourself.
• TX sensibility or genuine curiosity about this market.
• Attention to detail that catches what spell-check misses.
• Discipline to finish the boring 20% that makes the rest matter.

Responsabilidades

• Shave milliseconds off the technology hot path that Public Affairs Institute users feel every click
• Respond to on-call rotations and participate in incident postmortems
• Containerize applications and manage deployments with Unit Testing and .NET Core
• Scale data pipelines processing millions of events with Decision Making
• Carry a mentorship-focused Decision Making feature through code freeze without breaking Public Affairs Institute stability

Conocimientos

Organizational skills

Critical thinking

Growth mindset

Team collaboration

Attention to detail

TX market curiosity

Mentorship mindset

Herramientas

NET Core

Unit Testing

GraphQL

Descripción del empleo

Public Affairs Institute in Grand Prairie, TX is seeking a mid-level Civil Engineer who views testing as a clue and has a passion for scalable systems. The role offers a salary range of $87,000 to $124,000 and a path to ownership through experience with Cypress.

You will shave milliseconds from the hot path, respond to on-call rotations, containerize apps with .NET Core and unit testing, and scale data pipelines handling millions of events.