Senior Staff Platform, Data Reliability Engineer

🕒 Agosto 12

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $270.000 / ano

⏰ Tempo Integral

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Shield AI

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2015

🤖 Inteligência Artificial

🚀 Aeroespacial

🎖️ Defesa

Artificial Intelligence • Aerospace • Defense

A Shield AI é uma das principais desenvolvedoras de soluções militares impulsionadas por IA, focada em aprimorar a autonomia das missões e a consciência situacional no campo de batalha. Sua plataforma, Hivemind, permite a rápida implantação de sistemas inteligentes para diversas aplicações de defesa, incluindo operação de drones e vigilância. Com um compromisso em utilizar tecnologia avançada, a Shield AI visa proteger membros do serviço e civis, revolucionando tecnologias de defesa por meio de sistemas autônomos.

Descrição

• Own operational excellence for the Databricks platform, including monitoring, alerting, observability, incident response support, and production runbook patterns • Define and maintain CI/CD and promotion standards for Databricks assets and environments from development to production • Design and maintain standards for job orchestration, cluster and compute policies, service principal usage, environment isolation, and reliable production execution • Establish reusable operational templates and enablement patterns for onboarding new domains to Databricks • Partner with the Senior Data Engineer on observable, recoverable, cost-aware, and secure ingestion and medallion patterns • Align Databricks configuration and usage with enterprise cloud standards across commercial and future government-hosted environments • Enforce technical controls for data segregation, access boundaries, and operational compliance • Track and improve platform health metrics, including job success rates, incident trends, pipeline reliability, cost efficiency, and environment drift • Document platform standards, operational expectations, and support models • Mentor internal engineers developing platform responsibilities • Own the Databricks operational layer covering reliability, observability, deployment standards, compute and job policies, and platform enablement

🎯 Requisitos

• 12+ years of relevant experience in data platform engineering, platform operations, site reliability engineering, or modern cloud data infrastructure • Hands-on production experience with Databricks or a closely related cloud data platform • Experience designing or operating CI/CD, environment promotion, version control, and deployment automation for data platforms and pipelines • Strong understanding of observability, monitoring, alerting, incident management, and reliability engineering • Experience with compute policy design, workload isolation, service principals, and secure production execution patterns on cloud data platforms • Ability to work in regulated or security-sensitive environments with access control, auditability, and operational discipline • Collaboration with cloud/infrastructure, security, data engineering, and analytics stakeholders • Preferred: Databricks certification and/or expertise with Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles • Preferred: Infrastructure-as-code and platform automation experience • Preferred: Experience supporting commercial and government or segregated environments • Preferred: Experience in defense, aerospace, federal, or another regulated industry

🏖️ Benefícios

• Bonus • Benefits for full-time regular employees • Equity • Temporary benefits package applicable after 60 days of employment for temporary employees • Benefits eligibility excluded for military fellows and part-time employees • Equal employment opportunity and disability or special-needs accommodation