Senior Backend Engineer, Data Platform

🕒 Julho 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $158.000 - $257.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

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LaunchDarkly

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2014

💼 Consultoria

🏥 Saúde

📦 Logística

💰 $200.000.000 Series D em 2021-08

Consulting • Healthcare • Logistics

LaunchDarkly é uma empresa de software que oferece uma plataforma para gerenciamento de recursos e experimentação. Suas soluções permitem que os desenvolvedores controlem lançamentos de software através de feature flags, possibilitando implantações seguras e progressivas. A plataforma integra-se com várias ferramentas de desenvolvimento e suporta múltiplas linguagens de programação para simplificar a implantação e melhorar a experiência do desenvolvedor. As soluções da LaunchDarkly atendem a indústrias como serviços financeiros, saúde, alta tecnologia, varejo e governo, entre outras, proporcionando uma infraestrutura robusta que auxilia na entrega de experiências de usuário personalizadas e direcionadas.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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