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Starbucks
Starbucks
Alimente și băuturiComerț cu amănuntulOspitalitate
Starbucks este un comerciant internațional de produse alimentare și băuturi, cunoscut pentru cafenelele sale, produsele de cafea gata de consum și ambalate, oferta de alimente și articolele de marcă. Activitatea companiei se desfășoară prin magazine administrate de companie, locații autorizate și platforme digitale, oferind servicii precum comenzi prin aplicația mobilă, livrare, programe de fidelitate și carduri cadou. Compania pune, de asemenea, accent pe sustenabilitate, programe pentru comunitate și sprijinirea angajaților săi parteneri.
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Lead Engineer, Integrated Planning System - Starbucks Seattle Hybrid

Lead the engineering of Starbucks’ enterprise planning platform, connecting demand insights with supply decisions. Shape distributed systems, AI-assisted decision support, platform reliability, and technical direction.

USStatele Unite ale AmericiiWAWashington
149.500 $ – 249.100 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer full-stackInginer software
ApacheAWSAzureCassandraGoGoogle Cloud PlatformJavaKafkaKotlinNode.jsNoSQLPostgresSparkSQLTypeScript

Descriere

  • Deliver product capabilities across data, services, and user interfaces from initial concept through production release.
  • Guide architecture and engineering decisions spanning streaming, large-scale data processing, APIs, data models, and user experiences.
  • Build an AI-supported development lifecycle covering requirements, design, implementation, reviews, documentation, and incident analysis.
  • Develop reusable prompts, templates, and safeguards for consistent, secure AI-assisted engineering.
  • Deliver AI-supported decision tools with real-time inference, explainability, summaries, alerts, measurable results, and human oversight.
  • Manage API contracts through validation, naming standards, backward-compatible evolution, and deprecation planning.
  • Strengthen data quality and identity governance through dependable master-data practices.
  • Set performance and reliability goals, design failure recovery, and maintain service-level objectives.
  • Develop engineers through code reviews, paired work, design discussions, and ongoing coaching.
  • Convert business priorities into technical plans while coordinating with product, program, data, and partner teams.
  • Communicate delivery status, constraints, and technical tradeoffs with clarity.
  • Use insights and automation to improve service levels, lower operating costs, and shorten decision cycles.

Cerințe

  • At least seven years of experience building and operating large-scale, multi-service platforms in complex enterprise environments.
  • Strong Kafka or comparable streaming experience, including Flink, Spark Structured Streaming, or Kafka Streams.
  • Experience designing dependable data pipelines with stateful processing, schema evolution, backfills, and idempotent patterns.
  • Professional experience with Apache Spark and Databricks.
  • Experience delivering production APIs and services with TypeScript/Node.js, Java/Kotlin, Go, or comparable technologies.
  • Experience with caching strategies and performance optimization.
  • Strong SQL and NoSQL database experience, including PostgreSQL, Cassandra, or comparable systems.
  • Experience with distributed caches, document databases, and/or analytical data stores.
  • Working knowledge of indexing, partitioning, and query optimization.
  • Hands-on Azure, AWS, or Google Cloud experience, including networking fundamentals, IAM, managed-service tradeoffs, and cost-performance considerations.
  • Experience incorporating ML or LLM capabilities into production products, including model serving, prompt design, evaluation, safety controls, monitoring, and feedback loops.
  • Experience with production monitoring, tracing, alerting, incident response, and establishing and meeting SLOs.
  • Secure-by-default engineering experience covering sensitive-data protection, least-privilege access, and auditability.
  • Cross-team technical leadership, including design reviews, mentoring, and delivery through ambiguous problem spaces.

Beneficii

  • Medical, dental, and vision coverage.
  • Basic and supplemental life insurance.
  • Short- and long-term disability coverage.
  • Paid parental leave.
  • Reimbursement for family expansion expenses.
  • Paid vacation available from the date of hire.
  • Sick time accrued at one hour for every 25 hours worked.
  • Eight paid holidays.
  • Two personal days each year.
  • 401(k) plan with employer matching.
  • Discounted company stock through the S.I.P. program.
  • Starbucks equity through the Bean Stock program.
  • Incentivized emergency savings program.
  • Tools supporting financial well-being.
  • Full upfront tuition coverage for a first bachelor’s degree through Arizona State University’s online program under the Starbucks College Achievement Plan.
  • Resources for managing student loans.
  • Access to additional educational opportunities.
  • Backup care services.
  • DACA reimbursement.
  • Reasonable accommodations for applicants with disabilities.

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