Instacart
Instacart
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Senior Software Engineer II, Ads Data Solutions (Remote - United States)

Lead engineering for Instacart’s advertising data, cleanroom, taxonomy, and AI-enabled platforms. Build scalable, privacy-conscious systems and guide cross-functional technical delivery.

Tavsif

  • Architect reusable, scalable systems for off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform
  • Advance core abstractions, testing, CI/CD, observability, and cost efficiency
  • Drive engineering initiatives, align stakeholders, and coordinate dependencies
  • Strengthen integrations with external advertising platforms
  • Design privacy-conscious activation and identity workflows
  • Build ingestion pipelines for reach, frequency, and conversion measurement signals
  • Expand cleanroom orchestration and governance tools
  • Create reusable query templates and partner configurations
  • Improve data pipeline cost efficiency and performance
  • Lead Ads Taxonomy intake automation and release process improvements
  • Support platform modernization, developer tooling, on-call practices, and SLO strategy
  • Apply AI-assisted tools to design, coding, testing, and documentation
  • Convert ambiguous requirements into phased delivery with defined SLAs and SLOs
  • Promote security by design, data governance, and privacy compliance
  • Mentor engineers through L5 and establish code quality and review standards
  • Partner with Ads Manager, Measurement Science, Data Platform, Privacy and Legal, and external platforms

Talablar

  • At least 8 years of software engineering experience, typically 10 or more at this level
  • Experience delivering and operating large-scale backend and data systems
  • Track record leading cross-team projects and architectural decisions
  • Strong Python skills plus proficiency in Ruby or Go
  • Experience with REST or gRPC services and third-party API integrations
  • Experience with dbt, Airflow, Spark or Databricks, advanced SQL, and performance tuning
  • Experience with Snowflake and AWS
  • Experience with workflow orchestration and event-driven architectures
  • Experience with ad-tech, programmatic advertising, and measurement integrations
  • Experience with cleanrooms, identity matching, and deconfliction
  • Working knowledge of GDPR, CCPA, and privacy compliance practices
  • Experience with CI/CD, containers, testing, observability, incident readiness, and SLOs
  • Recent hands-on experience using AI-assisted development tools
  • Experience defining reusable AI prompts or workflows and contributing to AI-enabled tools or automation
  • Ability to assess AI and deterministic approaches, including evaluation, guardrails, and security and privacy considerations
  • Strong technical writing, stakeholder management, consensus-building, and execution skills

Imtiyozlar

  • Flexible work location, including home, office, or coffee shop
  • Regular in-person events
  • Equity grant for new hires
  • Annual equity refresh grants
  • Market-competitive compensation and benefits
  • Occasional travel to the Toronto office
  • Access to AI-assisted development tools and workflows

O‘xshash ish o‘rinlari