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TatariPosted 2 weeks ago

Copy of Senior Solutions Engineer

$1,040,000–$1,040,000 year

HybridSan Francisco, California, United States

Part TimeSenior LevelSmallTECH

Job Summary

Lead complex client integrations end-to-end, owning technical decisions from discovery through production and serving as the primary technical contact for strategic accounts. Design, build, and maintain public-facing Python SDKs and robust APIs that simplify integration workflows, while investigating and resolving complex client-side implementation issues and data pipeline failures. Identify data quality gaps and product improvement opportunities, particularly regarding privacy-safe measurement, to inform the technical roadmap. Actively mentor junior and mid-level Solutions Engineers through code review and technical guidance, while partnering with sales on technical discovery, RFPs, and proof-of-concept engagements. Contribute to architecture discussions to propose larger-scale changes that improve system health.

Required Qualifications

  • 5+ years experience as a software engineer
  • 5+ years working with data systems
  • hands-on experience with SQL
  • familiarity with AWS (S3, CloudFront)
  • familiarity with PostgreSQL
  • familiarity with streaming data pipelines (Kafka, Storm, or similar)
  • Fluent AI-assisted development
  • Demonstrated ability to drive complex, ambiguous technical projects independently
  • Strong understanding of API architectural patterns (REST, GraphQL, AWS API Gateway, etc.)
  • experience building and maintaining robust client-facing SDKs and integration tools
  • Proven experience designing and building workflow automation using tools like n8n, Zapier, or similar platforms
  • Exceptional communication skills
  • Proven ability to manage multiple clients and workstreams simultaneously
  • Experience mentoring engineers and contributing to the technical growth of a team

Desired Qualifications

  • Python preferred
  • experience with AWS (S3, CloudFront)
  • familiarity with PostgreSQL
  • familiarity with streaming data pipelines (Kafka, Storm, or similar)
  • Awareness of digital advertising measurement, privacy regulations (GDPR, CCPA), and cookieless/server-side tracking trends

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