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Pinterest

Principal Engineer, Shopping & Delivery Infra

Pinterest

. Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping .

Posted 9/29/2026full-timeUnited StatesLead💰 $242,634 - $499,541 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in building and evolving large-scale indexing and retrieval systems, with a strong focus on real-time architectures and cost-efficient distributed infrastructure. Proven ability to lead technical teams, influence stakeholders, and drive complex platform decisions while ensuring high standards of data integrity and system performance.

Highest-signal resume keywords
Large-Scale Indexing SystemsReal-Time ArchitectureTechnical LeadershipAI in Technical AnalysisSystems Thinking

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Indexing SystemsSearch SystemsRecommendation SystemsDistributed InfrastructureArchitectural ConvergenceLegacy-System MigrationsAI PrototypingDesign ExplorationQuality EvaluationDebugging Workflows
Soft Skills
Strong CommunicationProblem-SolvingInfluencing DirectionMentoring
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
Indexing ArchitectureRetrieval SystemsCost EfficiencyData IntegrityPrivacy and Safety

About the role

Key responsibilities & impact
  • Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping
  • Align architecture investments to improvements in freshness, quality, coverage, reliability, and cost efficiency
  • Lead cross-organizational modernization of Pinterest’s indexing architecture
  • Advance unified real-time and incremental retrieval systems for high-scale candidate generation
  • Partner with engineering, product, ML, and infrastructure leaders to align priorities and resolve tradeoffs
  • Guide system design, architecture reviews, and complex platform changes spanning ingestion, indexing, retrieval, and quality evaluation
  • Build shared metrics, tuning surfaces, and debugging workflows
  • Mentor senior engineers and technical leaders
  • Use AI to accelerate analysis, prototyping, system design iteration, technical investigations, design artifacts, and platform insight synthesis

Requirements

What you’ll need
  • Deep expertise building and evolving large-scale indexing, search, recommendation, or ads retrieval systems
  • Experience with real-time and incremental architectures, relevance tradeoffs, and cost-efficient distributed infrastructure
  • Strong technical leadership across multiple teams or organizations
  • Track record of influencing direction, aligning stakeholders, and driving complex platform decisions to completion
  • Experience leading large modernization efforts, architectural convergence, legacy-system migrations, shared-platform rollouts, or new infrastructure capabilities at scale
  • Exceptional systems thinking and problem-solving skills
  • Strong communication skills for senior technical and non-technical audiences
  • Experience using AI in technical analysis, prototyping, design exploration, documentation, or information synthesis
  • Experience validating AI-assisted work through testing, source-checking, peer review, and engineering judgment
  • High integrity, ownership, and care with sensitive data and production-critical systems
  • Thoughtful use of AI with attention to privacy, safety, and correctness
  • Bachelor’s or Master’s degree in Computer Science, Engineering, a related technical field, or equivalent experience

Benefits

Comp & perks
  • Equity eligibility
  • Flexible working model
  • In-person collaboration 1–2 times per quarter
  • Relocation assistance is not provided