Senior Software Engineer II, Ads Data Solutions Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the design of reusable, scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.

• Enhance core abstractions, testing, CI/CD, observability, and cost efficiency.

• Initiate and promote engineering projects, align stakeholders, and manage dependencies effectively.

• Strengthen and expand external advertising platform integrations.

• Create privacy-centric activation and identity workflows.

• Construct measurement ingestion pipelines for reach, frequency, and conversion metrics.

• Advance cleanroom orchestration and governance tools.

• Develop reusable query templates and partner configurations.

• Optimize data pipelines for both cost and performance.

• Oversee Ads Taxonomy intake automation and enhance release workflows.

• Contribute to platform modernization, developer tools, on-call processes, and SLO strategy.

• Utilize AI-assisted tools for design, coding, testing, and documentation.

• Transform ambiguous requirements into phased deliveries with well-defined SLAs/SLOs.

• Advocate for security-by-design, data governance, and privacy compliance.

• Mentor engineers up to L5 and establish standards for code quality and reviews.

• Foster collaborations across Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms.

⛳️ Requirements

• 8+ years of software engineering experience, typically 10+ years for this position.

• Proven experience in delivering and operating large-scale backend/data systems.

• Demonstrated ability to lead cross-team projects and make architectural decisions.

• Proficiency in Python and one of Ruby or Go.

• Familiarity with REST/gRPC services and third-party API integrations.

• Experience with DBT, Airflow, Spark/Databricks, advanced SQL, and performance tuning.

• Knowledge of Snowflake and AWS.

• Experience with workflow orchestration and event-driven design patterns.

• Background in ad-tech/programmatic and measurement integrations.

• Expertise in cleanrooms, identity/matching, and deconfliction.

• Understanding of GDPR/CCPA privacy and compliance regulations.

• Experience with CI/CD, containers, testing, observability, incident preparedness, and SLOs.

• Recent hands-on experience with AI-assisted development tools.

• Experience in defining reusable AI prompts/workflows and contributing to AI-enabled tools or automation.

• Ability to assess AI versus deterministic systems, including evaluation, guardrails, and implications for security/privacy.

• Strong technical writing, stakeholder management, consensus-building, and execution skills.

🏝️ Benefits

• Flexible work location: home, office, or coffee shop.

• Regular in-person events.

• New hire equity grant.

• Annual refresh grants.

• Market-competitive compensation and benefits.

• Occasional trips to the Toronto office.

• AI-assisted development tools and workflows.