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scalable systems — from data pipelines to backend services — to process and deliver high-quality product catalog data at scale.
high availability, reliability, and performanceof backend services, with robust monitoring, alerting, and fault-tolerance mechanisms.
Drive best practices in software engineeringincluding testing, code reviews, observability, and documentation for both services and pipelines
Looking For
Bachelor’s orMaster’s degree in Computer Science, or a related technical field.
8+ years of industry experiencedesigning, building, and deploying large-scale distributed systems with a focus on scalability, reliability, and performance.
Strong programming skills in JavaScript/Node.js, Python, Scala, or Golang.
Experience with SQL and NoSQL databases.
Hands-on experience withAPI design and development(REST,GraphQL) and buildingmicroservices architectures
withbatch and streaming data technologiessuch as Apache Beam, Dataflow, Spark, Flink, or Pub/Sub/Kafka.
Solid understanding ofdata modeling, schema design, and lifecycle management, along with modern data warehousing tools (e.g.,BigQuery, Snowflake,dbt).
Working knowledge of cloud infrastructure (AWS, GCP, or Azure), containerization and orchestration (Docker, Kubernetes), and CI/CD and observability tooling.
Strong communication
Preferred Qualification:
Experience in e-commerce, product catalogs,advertisementorsearch and recommendationsystems
Familiarity with machine learningoperation
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is $196,500 to $291,500
Any general requests for consideration of your skills, please
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