2 hours ago
Base Salary
$192k - $243k/yr
Responsibilities
- Lead architecture and technical roadmap execution for scalable systems across advertising workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.
- Build and harden third-party advertising integrations, privacy-forward activation and identity workflows, and measurement ingestion pipelines.
- Extend cleanroom orchestration, governance, policy enforcement, query templates, partner configurations, and secure deployment capabilities.
- Lead taxonomy intake automation and release workflow improvements across UI and backend systems.
- Drive platform modernization, developer tooling, testing, observability, cost efficiency, and future on-call/SLO practices.
- Use AI-assisted tools for design, coding, testing, documentation, and internal automation while defining reusable team workflows.
- Champion security-by-design, data governance, privacy compliance, and production-quality engineering standards.
- Mentor engineers up to L5, lead cross-team projects, align stakeholders, and drive architectural decisions.
Requirements
- 8+ years of software engineering experience delivering and operating large-scale backend and data systems, with cross-team project and architecture leadership.
- Strong Python and one of Ruby or Go, plus experience building services, APIs, and third-party API integrations.
- Experience with DBT, Airflow, Spark or Databricks, advanced SQL, performance tuning, Snowflake, AWS, workflow orchestration, and event-driven systems.
- Experience with ad-tech or programmatic advertising, measurement integrations, cleanrooms, identity and matching systems, and data deconfliction.
- Working knowledge of GDPR and CCPA practices in data workflows.
- Experience with CI/CD, containers, test strategy, observability, incident readiness, and SLOs.
- Recent hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, or OpenAI-based assistants, including reusable prompts, evaluation, guardrails, and privacy or security considerations.
- Clear technical writing, stakeholder management, consensus-building, and execution skills.
- Preferred experience includes UID2/TTD, Roku, PubMatic, NBCUniversal, Meta Advanced Analytics, Google ADH, catalog or taxonomy systems, entity lineage, Snowflake governance, partner data collaboration, vendor management, API certification programs, or AI-powered internal tools.
Benefits
- Flex First remote work arrangement allowing employees to work from home, an office, or another preferred location, with regular in-person events.
- Occasional trips to the Toronto office.
- Eligible for a new hire equity grant and annual refresh grants.
- Market-competitive compensation and benefits based on work location.
Tech Stack
Categories
BackendData Engineering
About Instacart
Instacart builds a grocery technology platform used by retailers and consumers for online shopping, delivery, and pickup. Its business spans a consumer marketplace, enterprise e-commerce and fulfillment software, and a retail media ads network, generating revenue from fees, subscriptions, software, and advertising. Founded in 2012 and headquartered in San Francisco, the company is publicly traded on Nasdaq and operates across the U.S. and Canada.