Staff Software Engineer – Ingestion Platform

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $217 000 - $303 900 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Reddit, Inc.

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2005

💼 Conseil

📣 Marketing

📱 Médias

Consulting • Marketing • Media

Reddit, Inc. est une plateforme de médias sociaux qui fait office de hub pour des milliers de communautés, où les utilisateurs peuvent participer à des conversations variées, allant des dernières actualités aux centres d’intérêt les plus pointus. Elle permet aux utilisateurs de publier, de commenter et de voter sur des contenus, favorisant une communauté en ligne dynamique. Des millions de personnes à travers le monde se connectent et partagent leurs passions sur Reddit, créant un environnement propice à des interactions humaines authentiques.

Description

• Lead the development and evolution of Reddit’s Ingestion Platform • Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads • Own the architecture and evolution of the platform’s control plane and data plane • Expand the platform to support S3/GCS, Apache Iceberg, transformations, deduplication, dead-letter queues, and reusable capabilities • Build connectors and abstractions for Kafka, BigQuery, S3, GCS, Iceberg, Flink, and other data stores • Improve the self-service experience through APIs, safe defaults, automated provisioning, documentation, onboarding workflows, observability, and alerting • Lead migrations from bespoke and legacy ingestion systems to the Ingestion Platform • Establish reliability, security, and operational practices for pipelines across Kubernetes clusters • Identify architectural and product-experience gaps and lead redesigns • Collaborate with Infrastructure, Data Platform, Product, Ads, ML, Storage, and partner teams • Mentor and guide backend and data infrastructure engineers across the company

🎯 Exigences

• 10+ years of hands-on experience building internet-scale distributed systems, data infrastructure, or platforms used by other developers • BS, MS, PhD in Computer Science, a related field, or equivalent practical experience • Strong software development experience in one or more general-purpose languages such as Go, Python, Java, or Scala • Deep experience designing and operating high-throughput, fault-tolerant data pipelines or platform services, including streaming and batch processing • Experience with Kafka, BigQuery, S3, GCS, Apache Iceberg, Flink, or comparable technologies • Experience designing APIs and platform abstractions, including schema evolution, Protocol Buffers, and gRPC • Familiarity with Kubernetes and cloud-native platform concepts, including controllers, custom resources, workload identity, infrastructure automation, and multi-cluster deployments • Strong understanding of observability and operational excellence: metrics, logging, alerting, SLOs, incident response, data quality, and safe migration practices • Product-minded approach to advocating for platform users and turning ambiguous needs into reliable, scalable solutions • Demonstrated technical leadership and experience guiding teams through complex, cross-functional initiatives • Exceptional written and verbal communication skills • Experience building low-code or self-service developer platforms, or curiosity to learn, is a strong plus

🏖️ Avantages

• Equity in the form of restricted stock units • Commission eligibility depending on the position offered • Medical insurance • Dental insurance • Vision insurance • 401(k) program with employer match • Generous vacation time off • Parental leave • Reasonable accommodations for qualified individuals with disabilities and disabled veterans • Opportunity to opt out of interview recording, transcription, and summarization

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