Senior Software Engineer II, Ads Data Solutions

September 24

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Instacart

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eCommerce • Transport • Retail

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

📋 Description

• Co-own technical roadmap, design and ship scalable data-intensive systems for Ads Data Solutions at Instacart • 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; proactively drive modernization • Expand and harden integrations with external advertising platforms and design privacy-forward activation and identity workflows • Build measurement ingestion pipelines for performance signals (reach, frequency, conversions) • Extend cleanroom orchestration and governance tooling, develop reusable query templates and partner configurations, and optimize pipelines for cost and performance • Lead intake automation and release workflow improvements for Ads Taxonomy to reduce manual effort and cycle time • Assist with platform modernization, developer tooling improvements, and contribute to on-call/SLO strategy • Use AI-assisted tools daily for design, coding, tests, and docs; define team prompt patterns and AI-first workflows • Translate ambiguous requirements into pragmatic phases (POC, pilot, production) with clear SLAs/SLOs • Champion security-by-design, data governance, and privacy compliance across pipelines • Mentor L4/L5 engineers, set code quality and review standards, and build cross-team partnerships with Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms

🎯 Requirements

• 8+ years of software engineering experience (typically 10+ for this level) • Proven senior-level impact delivering and operating large-scale backend/data systems • Strong in Python and one of Ruby or Go • Experience building services/APIs (REST/gRPC) and integrations with third-party APIs (e.g., Meta, Google, The Trade Desk) • Data pipelines experience with DBT and Airflow; Spark/Databricks; advanced SQL and performance tuning • Experience with Snowflake and AWS; cost-aware design • Workflow orchestration experience (e.g., Temporal) and event-driven patterns • Experience with ad-tech/programmatic and measurement integrations • Experience with cleanrooms (Snowflake DCR, shares/listings) and secure data collaboration • Identity/matching experience (UID2, RampID) and deconfliction • Working knowledge of privacy and compliance practices (GDPR/CCPA) in data workflows • CI/CD, containers, test strategy experience; observability (metrics/logs/tracing) with tools like Datadog • Incident readiness and SLO thinking • Demonstrated, recent hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI-based assistants) • Experience defining reusable prompts/workflows for team use and contributing to AI-enabled internal tools or automation • Ability to evaluate when to apply AI vs. deterministic systems; familiarity with evaluation, guardrails, and security/privacy implications in AI usage • Clear technical writing and stakeholder management skills; ability to drive consensus and unblock execution • Mentorship experience for engineers up to L5 and acting as an IC tech lead (no direct reports) • Must be eligible to work and be located in Canada (Ontario, Alberta, British Columbia, or Nova Scotia)

🏖️ Benefits

• Highly market-competitive compensation • Base pay range $193,000—$214,000 CAD • Eligible for a new hire equity grant • Eligible for annual refresh equity grants • Flex First flexible work policy (choose where to work) • Remote work (Canada: ON, AB, BC, or NS only) • Occasional trips to Toronto office • Company benefits offerings (location-dependent)