Senior Backend Engineer, Data Platform

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $158 000 - $257 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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LaunchDarkly

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2014

💼 Conseil

🏥 Santé

📦 Logistique

💰 €200 000 000 Series D en 2021-08

Consulting • Healthcare • Logistics

LaunchDarkly est une entreprise de logiciels proposant une plateforme de gestion des fonctionnalités et d'expérimentation. Ses solutions permettent aux développeurs de contrôler les déploiements de logiciels grâce à des drapeaux de fonctionnalités, favorisant des mises en production progressives et sécurisées. La plateforme s'intègre à divers outils de développement et prend en charge plusieurs langages de programmation pour simplifier le déploiement et améliorer l'expérience des développeurs. Les solutions de LaunchDarkly s'adressent à des secteurs tels que les services financiers, la santé, la haute technologie, le commerce de détail et le gouvernement, entre autres, fournissant une infrastructure robuste qui aide à offrir des expériences utilisateur personnalisées et ciblées.

Description

• Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas • Own and improve production data infrastructure, including streaming and batch pipelines, analytical data stores, warehouse export systems, observability, alerting, reliability, and performance • Debug and resolve complex production issues across data pipelines, databases, cloud infrastructure, and distributed systems, including participating in the team’s on-call rotation • Partner with product managers, frontend engineers, UX designers, and other product engineering teams to deliver reliable customer-facing data capabilities • Write and review technical proposals, contribute to architecture decisions, and help the team make thoughtful trade-offs around scalability, reliability, cost, and operability • Improve engineering standards, testing practices, deployment safety, observability, tooling, and operational processes for Data Platform systems • Write maintainable, well-tested code and actively participate in code reviews, design reviews, and production readiness discussions

🎯 Exigences

• 6+ years of professional backend software engineering experience • Experience designing, building, operating, and debugging reliable production systems that move, store, process, or query large volumes of data • Hands-on experience with data pipeline, streaming, orchestration, or batch-processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, Athena, Kafka, or equivalent systems • Experience working with analytical, event, warehouse, or operational data stores such as ClickHouse, Postgres, Elasticsearch, Timestream, Glue/Iceberg/S3, Redshift, Databricks, or equivalent systems • Strong programming experience in Go, Python, SQL, Scala, or similar backend languages • Familiarity with distributed systems and backend engineering fundamentals such as concurrency, data modeling, failure handling, retries, idempotency, partitioning, backpressure, and high-throughput processing • Experience with infrastructure-as-code tools such as Terraform or equivalent, and observability tools such as Datadog, New Relic, or equivalent • A strong ownership mindset for production systems, including maintainability, testing, operational excellence, code quality, collaboration, and clear technical communication

🏖️ Avantages

• Restricted Stock Units (RSUs) • Health, vision, and dental insurance • Mental health benefits