19 days ago
Base Salary
$145k - $275k/yr
Responsibilities
- Design, build, and operate Rust services for transactional storage, transform coordination, and low-latency retrieval at the scale of hundreds of billions of objects.
- Own features end-to-end through technical design, implementation, testing, deployment, observability, on-call, and incident response.
- Evolve the Python transform framework, tooling, developer experience, and APIs used by engineers across the company.
- Lead cross-functional projects with ML, search, product, and data stakeholders, including roadmaps, milestones, and technical designs.
- Improve performance and cost efficiency across DataFusion query execution, Parquet layouts, S3 access, caching, and PostgreSQL/Aurora.
- Strengthen data lineage, authorization, access controls, and deletion propagation across brands.
- Mentor engineers, conduct design reviews, support code contributions, and improve agentic AI workflows while preserving quality, security, and ownership.
Requirements
- 10+ years of professional software engineering experience building backend, distributed, or data-intensive systems.
- Production experience writing Rust and strong proficiency in Python.
- Deep understanding of S3, Apache Parquet/Arrow, and PostgreSQL and/or MySQL.
- Experience designing and operating high-throughput, low-latency services, including metrics, tracing, alerting, and production debugging.
- Demonstrated technical leadership through cross-team project leadership, design documentation, alignment building, and mentoring.
- Experience with AWS services such as S3, Lambda, ECS, or Aurora and infrastructure-as-code workflows such as Terraform.
- Clear communication with technical and non-technical stakeholders and ability to turn ambiguous requirements into shipped software.
- Preferred qualifications include experience with Apache DataFusion, arrow-rs, the parquet crate, query engines, database internals, open-source Rust data projects, large-scale data governance, GDPR and deletion compliance, FinOps, developer platforms, SDKs, and agentic engineering tools such as Claude Code.
Benefits
- Scribd Flex flexible work model with occasional in-person attendance required and primary residence near specified cities in the United States, Canada, or Mexico.
- Comprehensive health, dental, and vision coverage, mental health support, and disability coverage.
- Paid time off including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
- Paid parental leave, family support benefits, retirement matching, and employee equity.
- Learning and development programs, professional growth opportunities, wellness and home office stipends, and complimentary access to Scribd products.
- Enterprise access to leading AI tools.
