Software Engineer - Backend Infrastructure, Standalone Apps Team

Meta•Menlo Park, CA

20h•$219,000 - $301,000

About The Position

Meta's Standalone Apps Team is building a new image-and-text community where users share first-hand experiences and recommendations. This is a 0→1 project with a small team, offering high ownership, a fast path from idea to ship, and the chance to shape a product from its initial version. The team is seeking a senior infrastructure engineer to build the platform for this product, focusing on data pipelines, storage, service frameworks, and developer tooling to enable the team to move quickly and reliably.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of software engineering experience, with significant time on infrastructure, platform, or distributed systems
Deep grasp of distributed systems, storage, reliability, and performance
Track record of building and operating infrastructure at scale
Experience leading technical direction and working independently with limited guidance

Nice To Haves

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience standing up infrastructure for a new product (0→1)
Experience with large-scale data systems, ML infrastructure, or developer-productivity tooling

Responsibilities

Design, build, and own core infrastructure: data pipelines, storage, service frameworks, and deployment/observability tooling.
Make the platform reliable, scalable, and cost-efficient; remove bottlenecks before they slow the team down.
Set technical direction for infra; define the patterns product engineers build on.
Partner with product and ML engineers to support their throughput and reliability needs.
Mentor other engineers and raise the operational bar.