instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K

Description

  • Lead architecture for scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.
  • Co-own the technical roadmap and drive modernization of data solutions infrastructure.
  • Expand and harden integrations with external advertising platforms.
  • Design privacy-forward activation, identity, and measurement workflows for off-platform advertising.
  • Extend cleanroom orchestration, governance tooling, and reusable query and partner configurations.
  • Lead automation improvements for ads taxonomy intake and release workflows.
  • Improve platform foundations, including CI/CD, observability, testing, and cost efficiency.
  • Use AI-assisted tools in design, coding, testing, and documentation, and define team AI workflows.
  • Mentor engineers up to L5 and raise code quality and review standards.
  • Partner with Product, Data Science, Data Platform, Governance, Privacy/Legal, and external platforms to deliver cross-team initiatives.

Requirements

  • 8+ years of software engineering experience, typically 10+ for this level, delivering and operating large-scale backend or data systems.
  • Proven experience leading cross-team projects and making architectural decisions.
  • Strong proficiency in Python and either Ruby or Go.
  • Experience building services and APIs using REST or gRPC.
  • Experience with third-party advertising platform APIs such as Meta, Google, or The Trade Desk.
  • Experience with data pipelines using DBT and Airflow.
  • Experience with Spark or Databricks, advanced SQL, and performance tuning.
  • Experience with Snowflake and AWS, plus cost-aware design and workflow orchestration tools such as Temporal.
  • Experience with ad-tech, programmatic measurement integrations, cleanrooms, and identity or matching systems such as UID2 or RampID.
  • Working knowledge of privacy and compliance practices such as GDPR and CCPA.
  • Experience with CI/CD, containers, test strategy, observability tools such as Datadog, and incident readiness or SLO planning.
  • Recent hands-on use of AI-assisted development tools such as GitHub Copilot, Cursor, or OpenAI-based assistants.
  • Experience defining reusable prompts or workflows for team use and contributing to AI-enabled internal tools or automation.
  • Ability to evaluate when to use AI versus deterministic systems, including awareness of evaluation, guardrails, security, and privacy implications.
  • Clear technical writing skills and strong stakeholder management and consensus-building abilities.
  • Preferred: direct experience with UID2/TTD integrations, Roku, Pubmatic, NBCU, Meta Advanced Analytics, or Google ADH pipelines.
  • Preferred: experience with catalog, taxonomy, entity lineage, or custom hierarchy systems.
  • Preferred: experience with Snowflake governance patterns and partner data collaboration at scale.
  • Preferred: experience with vendor or partner management and external API certification programs.
  • Preferred: experience building AI-powered internal tools such as Slackbots or data assistants.

Benefits

  • Remote role with Flex First work flexibility.
  • Base pay range of $196,000 to $207,000 USD for Canadian candidates, depending on permanent work location.
  • Highly market-competitive compensation and benefits.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Opportunity to work remotely from approved Canadian provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
  • Occasional trips to the Toronto office to connect with the engineering community.

Interested in this position?

Apply directly on the company website

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