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# Staff Software Engineer, Core Infrastructure

- **Company:** Scribd Inc.
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $176,500.0 - $275,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Apache HTTP Server, Systems Engineering, Cloud Computing, Code Review, Databases, Data Files, Data Governance, Relational Databases, Software Debugging, Software Design Documents, Python (Programming Language), PostgreSQL, MySQL, Open Source Technology, Runbook, Software Engineering, Parquet, Scripting, Claude Code, Caching, Backend, Data Lineage, Terraform
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-core-infrastructure-atlanta-ga--c6dd1c81-c17d-4ea0-b006-8bea665da502

## About the Role

Software Engineering, Establish Priorities, Set Goals, Cloud Computing, Access Control, Data Sets, Ecosystems, Apache, Python Programming/Scripting Language, Systems Engineering, * Youre a systems engineer who loves owning software end-to-end: design, implementation, deployment, operations, and the inevitable "why is this slow?" investigations., * 10+ years of professional software engineering experience building backend, distributed, or data-intensive systems.

 * Production experience writing Rust and strong proficiency in Python.
 * A deep understanding of storage and data fundamentals: object storage (S3), columnar formats (Apache Parquet/Arrow), and relational databases (PostgreSQL and/or MySQL).
 * A track record of designing and operating high-throughput, low-latency services, including the operational side: metrics, tracing, alerting, and debugging production systems.
 * Demonstrated technical leadership: leading projects across team boundaries, writing design docs that build alignment, and mentoring engineers.
 * Experience with AWS (e.g., S3, Lambda, ECS, Aurora) and infrastructure-as-code workflows (e.g., Terraform).
 * Clear communication with both technical and non-technical stakeholders, and comfort turning ambiguous requirements into shipped software.

Ideally, you have:

 * Direct experience with Apache DataFusion, arrow-rs, the parquet crate, or building query engines and database internals.
 * Contributions to open source, especially in the Rust data ecosystem (delta-rs, Arrow, DataFusion, etc.).
 * Experience with data governance at scale: lineage, access control, GDPR and deletion compliance.
 * A FinOps mindset: youve bent a cloud bill downward through architecture, not just instance right-sizing.
 * Experience building platforms that other engineers build on: SDKs, contribution models, and paved-road developer experience.
 * Recent, hands-on investment in agentic engineering practices, using tools like Claude Code as a core part of your development workflow while keeping human review at the center of quality and security.
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## Description

* Youre pragmatic about technology choices; you keep things simple, and you write things down. Design docs, runbooks, and thoughtful code reviews are how you scale yourself.
 * You enjoy being the engineer other teams come to, whether thats reviewing their contributions, unblocking an integration, or turning an ambiguous ask into well-scoped work.
 * Youve made agentic AI tools part of your daily engineering practice, and you know they accelerate great engineers rather than replace engineering judgment. Humans stay in the loop on quality, security, and ownership.

What you will do:

 * Design, build, and operate the Content Librarys core Rust services (transactional storage, transform coordination, and low-latency retrieval paths) at the scale of hundreds of billions of objects.
 * Own features end-to-end, from technical design through implementation, testing, deployment, and production operations (observability, on-call, and incident response for the systems you own).
 * Evolve the Python userland (the transform framework, tooling, and developer experience) and support engineers across the company who build on the platform through code reviews, guidance, and well-designed APIs.
 * Lead cross-functional projects with stakeholders in ML, search, product, and data teams: defining roadmaps, milestones, and technical designs that balance scalability, performance, cost, and delivery.
 * Drive performance and cost-efficiency across the stack: query execution (DataFusion), Parquet file layouts, S3 access patterns, caching strategies, and PostgreSQL/Aurora tuning.
 * Strengthen the platforms governance capabilities: data lineage, authorization and access controls, and deletion propagation across brands.
 * Raise the engineering bar on the team through mentorship, design reviews, and improvements to our developer environment, including making agentic AI workflows more effective within our codebase while preserving quality, security, and ownership.