Senior Staff Software Engineer, Data Infrastructure & AI

Menlo Ventures

Mountain View (CA)

On-site

USD 228,600 - 314,250

Full time

14 days+

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Benefits offered by this job

Annual performance bonus
Equity
Comprehensive benefits

Job summary

Databricks is seeking an experienced software engineer to work on enterprise-grade analytical data systems, focusing on distributed systems and performance optimization. In this role, you will be responsible for delivering scalable architectures and mentoring team members.

The ideal candidate has 15+ years of industry experience and a strong foundation in algorithms and data structures. A commitment to customer satisfaction and collaboration with product partners is essential.

Competitive salary range of $228,600 — $314,250 USD based on experience.

Qualifications

  • 15+ years industry experience building and supporting large-scale distributed systems.
  • Experience working towards a multi-year vision with incremental deliverables.
  • Strong foundation in algorithms and data structures and their real-world use cases.

Responsibilities

  • Solve real business needs at large scale applying software engineering experience.
  • Deliver a highly scalable, available, and interoperable architecture.
  • Plan and lead complicated technical projects that work with several teams.

Skills

Distributed systems
Database systems
Performance optimization
Algorithms and data structures

Education

BS/MS/PhD in Computer Science or related

Job description

Databricks is seeking an experienced software engineer to work on enterprise-grade analytical data systems, focusing on distributed systems and performance optimization. In this role, you will be responsible for delivering scalable architectures and mentoring team members.

The ideal candidate has 15+ years of industry experience and a strong foundation in algorithms and data structures. A commitment to customer satisfaction and collaboration with product partners is essential.

Competitive salary range of $228,600 — $314,250 USD based on experience.

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