Instacart
Instacart
Instacart ir pārtikas preču tehnoloģiju un piegādes uzņēmums, kura mērķis ir atvieglot pārtikas un mājsaimniecības pirmās nepieciešamības preču iegādi. Tā platforma savieno klientus ar personīgajiem pircējiem, nodrošina piegādi pat 30 minūšu laikā un palīdz mājsaimniecībām atrast atbilstošus kuponus un izdevīgus piedāvājumus. Instacart izstrādā arī rīkus sarežģītu piegādes apstākļu pārvaldībai, tostarp pasūtījumu pārmaršrutēšanai nelabvēlīgu laikapstākļu laikā. Uzņēmums savu plašāko mērķi raksturo kā pārtikas preču nozares operētājsistēmas izveidi, vienlaikus veidojot elastīgu, daudzveidīgu, vienlīdzīgu un iekļaujošu darba vidi savām komandām.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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

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