Senior Software Engineer II, Ads Data Solutions Engineering

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

📋 Description

• Share ownership of the technical roadmap for Ads Data Solutions Engineering.

• Direct the architecture for reusable and scalable systems encompassing off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.

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

• Propel cross-team initiatives, align stakeholders, and oversee dependencies.

• Enhance external advertising platform integrations and develop privacy-focused activation, identity, and measurement workflows.

• Broaden cleanroom orchestration and governance tools, reusable query templates, and partner configurations.

• Spearhead Ads Taxonomy intake automation and improvements in release workflows.

• Assist in platform modernization, developer tools, on-call duties, and SLO strategy.

• Leverage AI-assisted tools for design, coding, testing, and documentation; establish team prompt patterns and workflows.

• Convert ambiguous requirements into phased deliveries with clear SLAs/SLOs.

• Advocate for security-by-design, data governance, and compliance with GDPR/CCPA privacy regulations.

• Mentor engineers up to level 5 and establish standards for code quality and reviews.

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

⛳️ Requirements

• Over 8 years of software engineering experience in delivering and operating large-scale backend/data systems; typically 10+ years for this level.

• Proven track record in leading cross-team projects and making architectural decisions.

• Proficiency in Python and familiarity with either Ruby or Go.

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

• Familiarity with DBT, Airflow, Spark/Databricks, advanced SQL, and performance optimization.

• Knowledge of Snowflake and AWS.

• Experience in workflow orchestration and event-driven programming.

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

• Knowledge of cleanrooms, identity/matching, and deconfliction techniques.

• Working understanding of GDPR/CCPA privacy and compliance practices.

• Experience with CI/CD, containers, test strategy, observability, incident preparedness, and SLO considerations.

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

• Proven ability in defining reusable AI prompts/workflows and contributing to AI-powered internal tools or automation.

• Competence in evaluating AI against deterministic systems; understanding of evaluation, guardrails, and AI security/privacy implications.

• Strong technical writing skills, stakeholder management, and the ability to build consensus.

🏝️ Benefits

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

• Regular in-person events.

• New hire equity grant.

• Annual refresh grants.

• Highly competitive compensation and benefits package.

• Occasional trips to the Toronto office.