SENIOR SOFTWARE ENGINEER

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 221,187 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Performance and scalability focus","Problem-solving","Attention to reliability","Rapid mastery"]

Architect and build core backend infrastructure for an elastic, large-scale data processing system that powers AI/ML observability. Design, develop, and maintain components for data storage, movement, monitoring, and evaluation of ML/Generative AI models, including sketch-based aggregation and specialized metrics. Serve as a technical lead for machine learning observability, data infrastructure, and model explainability capabilities supporting customer-facing ML products.

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Snowflake
Snowflake
1 day ago

SENIOR SOFTWARE ENGINEER

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Source: Company careers pageValidated by: Fursa AI
Last checked: 42 minutes agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Architect and build core backend infrastructure for an elastic, large-scale data processing system that powers AI/ML observability. Design, develop, and maintain components for data storage, movement, monitoring, and evaluation of ML/Generative AI models, including sketch-based aggregation and specialized metrics. Serve as a technical lead for machine learning observability, data infrastructure, and model explainability capabilities supporting customer-facing ML products.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain core components of AI/ML observability systems, including backend infrastructure for large-scale data processing, storage, and data movement.
  • •Implement and optimize techniques such as sketch-based data aggregation and ML metrics for monitoring and evaluation of ML and Generative AI models.
  • •Develop and enhance AI/ML infrastructure to support reliable training, deployment, and monitoring of machine learning workloads at scale.
  • •Build and extend platform features enabling scalable ML and Generative AI use cases while improving performance, reliability, and resource efficiency.
  • •Provide technical leadership for designing and implementing machine learning observability, data infrastructure, and model explainability capabilities for customer-facing products.

Pay and Benefits

Salary: USD 221,187 - 287,500 annually

Key Requirements

  • •Bachelor's degree (or foreign equivalent) in Computer Science, Information Technology, Electrical Engineering, or related field, plus five (5) years of progressive post-baccalaureate experience in the role or a related occupation.
  • •Design and build database systems, compilers, and developer tools.
  • •Develop enterprise-grade, reliable, trustworthy software and services.
  • •Develop applications using Java, and use SQL and other database technologies (including implementing internal database components).
  • •Design data warehouses and large-scale data processing solutions; contribute to ASF open-source projects including big data and Hadoop ecosystem initiatives.
Experience:5+ yearsBig dataHadoopOpen sourceMachine learningGenerative AI
Education:Bachelor's in Computer Science, Information Technology, Electrical Engineering or a related field
Skills:Technical leadershipPerformance and scalability focusProblem-solvingAttention to reliabilityRapid mastery
Tech Stack:JavaSQLDatabase systemsData warehousesHadoopBig dataMachine learningGenerative AIASF

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn