Software Engineer, Core Infrastructure

Culture at Scribd, Inc.

We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture.

Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

• Core Infrastructure builds and operates the foundations of Scribd, Inc.: the paved roads of cloud infrastructure, networking, databases, and observability that let every product team move fast with confidence. Over the past two years, our charter has grown, and today we own the Content Library, the unified storage and governance platform for all content across Scribd®, Slideshare®, Everand™, and Fable.
• The Content Library is one of the more interesting storage problems you'll find anywhere. Nearly twenty years of accumulated content, hundreds of billions of objects in S3, served to hundreds of millions of people every month. It provides transactional storage, dataset transforms with full lineage tracking, low-latency online reads, and the governance layer (access control, trust, deletion propagation) for our most valuable asset: the content that powers our products and our inference-driven features.
• The core of the platform is written in Rust and built on the excellent Rust data ecosystem (Apache Arrow, Parquet, and Data Fusion), with a Python "userland" that teams across the company contribute to directly. If you want a taste of the work, read about Content Crush on our tech blog:
• This role will join an existing team of Senior, Staff, and Principal engineers building the Content Library and Core Infrastructure of Scribd, Inc. for all our production data stores. Working alongside the Content Library's architect and lead engineer, you'll take ownership of the application codebase, drive feature development forward, and help shape where the platform goes as it becomes the foundation for all content at Scribd, Inc.

• You're a systems engineer who loves owning software end-to-end: design, implementation, deployment, operations, and the inevitable "why is this slow?" investigations.
• You're 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 that's reviewing their contributions, unblocking an integration, or turning an ambiguous ask into well-scoped work.
• You've 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.

• Design, build, and operate the Content Library's 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 (Data Fusion), Parquet file layouts, S3 access patterns, caching strategies, and PostgreSQL/Aurora tuning.
• Strengthen the platform's 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.

• 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…