6 часов назад
Sr. Software Development Engineer, AWS S3 Tables
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Development Engineer, AWS S3 Tables (Rust/Apache Iceberg): Building distributed storage, indexing, and query systems for large-scale tabular data with an accent on reliable ingestion, compatibility with analytics engines, and query performance. Focus on designing scalable, fault-tolerant, low-cost services and contributing to the evolution of Apache Iceberg in collaboration with AWS, partner, and open-source engineering teams.
Location: London, United Kingdom
Company
Web Services provides cloud infrastructure and platform services, including scalable storage, compute, database, IoT, and productivity solutions.
What you will do
- Design and deliver distributed storage, indexing, and query systems for S3 Tables.
- Build reliable, cost-effective data ingestion systems compatible with source systems and popular analytics engines.
- Improve query performance through intelligent partitioning and indexing strategies.
- Prototype technologies, evaluate technical feasibility, and deliver maintainable, extensible code.
- Collaborate with AWS teams, partners, and the Apache Iceberg community on open table formats.
- Work in an agile environment to deliver high-quality software at massive scale.
Requirements
- 5+ years of professional software development experience outside internships.
- 5+ years of programming experience with at least one programming language.
- 5+ years of leading system design or architecture, including reliability and scaling.
- Experience as a mentor, tech lead, or engineering team lead.
- 2+ years of experience with Rust.
- Experience with Apache Iceberg.
Nice to have
- Bachelor's degree in computer science or equivalent experience.
- 5+ years covering the full software development lifecycle, including coding standards, code reviews, source control, builds, testing, and operations.
- Apache Iceberg committer or PMC member status.
Culture & Benefits
- Flexible work hours and arrangements supporting work-life harmony.
- Inclusive culture supported by employee-led affinity groups and ongoing learning events.
- Mentorship, knowledge sharing, and career-development resources.
- Opportunity to work on storage technology serving large-scale analytics, IoT, and AI workloads.
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