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Описание вакансии
Текст:
TL;DR
Software Engineer (Database): Building Dynamic Tables capabilities for a data platform that transforms data with declarative SQL, with an accent on database internals, distributed systems, and large-scale reliability. Focus on designing production software, solving performance, correctness, and fault-tolerance challenges, and improving query and data-intensive system behavior.
Location: Berlin, Germany — Trion Building
Company
Snowflake develops a data platform for transforming and managing enterprise data.
What you will do
- Design and build Dynamic Tables capabilities with engineers and Product Managers.
- Implement, support, and evolve new features and performance improvements.
- Break down ambiguous problems, evaluate trade-offs, and make technical and product decisions.
- Analyze and solve performance, correctness, and fault-tolerance challenges at scale.
- Investigate unfamiliar areas of a large system and resolve root causes.
- Ensure operational readiness, reliability, availability, and performance for customer-facing systems.
Requirements
- At least 2 years of industry or equivalent research experience designing and building database internals or data-intensive systems.
- Strong computer science fundamentals, including data structures, algorithms, and distributed systems.
- Experience taking problems from an open question to software running in production.
- Proficiency with AI-native software engineering and agentic development workflows.
- Bachelor’s degree in Computer Science or a related field.
- Strong English communication skills.
Nice to have
- Experience with query compilers, query optimizers, or database internals.
- Experience building enterprise-grade, reliable, and trustworthy software or services.
- Experience with large-scale distributed systems, transactions, and consistency models.
- Contributions to open-source data infrastructure or database systems.
Culture & Benefits
- Work in a collaborative, globally distributed engineering organization.
- Partner with experienced engineers and Product Managers while developing technical scope and influence.
- Contribute to technical and product direction and participate in mentoring and learning.
- Use an experimental, AI-native approach to software engineering and problem-solving.
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