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Instacart

Connects grocery buyers with local stores

Senior Software Engineer 2 - Ads Data Solutions Engineering

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 8 years of software engineering experience delivering and operating large-scale backend and data systems, including leading cross-team projects and architectural decisions.
  • Strong Python skills and proficiency in either Ruby or Go, including services and APIs using REST or gRPC and third-party API integrations.
  • Experience building data pipelines with DBT and Airflow, using Spark or Databricks, and advanced SQL and performance tuning.
  • Experience with Snowflake and AWS, cost-aware design, workflow orchestration such as Temporal, and event-driven patterns.
  • Experience with ad-tech/programmatic and measurement integrations; cleanrooms such as Snowflake DCR, shares, and listings; and identity/matching such as UID2 and RampID and deconfliction.
  • Working knowledge of privacy and compliance practices, including GDPR and CCPA, in data workflows.
  • Experience with CI/CD, containers, test strategy, observability using metrics, logs, and tracing with tools such as Datadog, incident readiness, and SLO thinking.
  • Recent hands-on use of AI-assisted development tools such as GitHub Copilot, Cursor, or OpenAI-based assistants to improve speed and quality.
  • Experience defining reusable prompts and workflows for team use and contributing to AI-enabled internal tools or automation.
  • Ability to evaluate when to apply AI versus deterministic systems; familiarity with evaluation, guardrails, and security and privacy implications of AI usage.
  • Clear technical writing and the ability to manage stakeholders, drive consensus, and unblock execution.

Responsibilities

  • Lead architecture for reusable, scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.
  • Evolve core abstractions, testing, CI/CD, observability, and cost efficiency, and proactively drive modernization.
  • Propose and drive initiatives on behalf of engineering management; align stakeholders and manage dependencies.
  • Expand and harden integrations with external advertising platforms; design privacy-forward activation and identity workflows; reduce reliance on third-party intermediaries; and build measurement ingestion pipelines for performance signals such as reach, frequency, and conversions.
  • Extend cleanroom orchestration and governance tooling, including multi-cleanroom support and policy enforcement; develop reusable query templates and partner configurations; optimize pipelines for cost and performance; and scale secure data collaboration deployment and management.
  • Lead intake automation across user interface and backend and improve release workflows to reduce manual effort and cycle time.
  • Assist with platform modernization and developer tooling improvements; contribute to an on-call and SLO strategy as operations mature.
  • Use AI-assisted tools daily for design, coding, tests, and documentation; define team prompt patterns and workflows; and identify AI opportunities in internal tools and operations.
  • Translate ambiguous requirements into pragmatic phases such as proof of concept, pilot, and production with clear service-level agreements and objectives.
  • Champion security-by-design, data governance, and privacy compliance such as GDPR and CCPA across pipelines.
  • Mentor engineers up to L5 and set code quality and review standards.
  • Build cross-team partnerships with Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms.
  • Co-own the technical roadmap, modernize data solutions infrastructure, scale off-platform integrations and measurement capabilities, extend cleanroom collaboration capabilities, and automate taxonomy change management workflows.
  • Help define the future on-call model and SLOs.
  • Travel occasionally to the Toronto office to connect with the broader engineering community.

Desired Qualifications

  • Direct experience with UID2 or TTD integrations, Roku, PubMatic, or NBCU, or Meta Advanced Analytics or Google ADH pipelines.
  • Experience with catalog/taxonomy, entity lineage, or custom hierarchy systems.
  • Experience with Snowflake governance patterns and partner data collaboration at scale.
  • Vendor/partner management and external API certification programs.
  • Experience building AI-powered internal tools such as Slackbots or data assistants.

About the Company

Instacart

Connects grocery buyers with local stores

Instacart runs a grocery marketplace where customers order from local retailers across the United States and Canada for delivery or pickup. Its Enterprise Platform also sells software that lets retailers operate their own online stores and manage order fulfillment. Customers choose items through its app or website, and independent contractor shoppers pick and deliver orders using its fulfillment technology. The company earns fees from customers and retailers, sells Instacart+ memberships with delivery benefits, and charges brands for advertising and retailers for software subscriptions. Instacart was founded in 2012 and is headquartered in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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