Senior Staff Platform, Data Reliability Engineer

🕒 August 12

🇺🇸 United States – Remote

💵 $180k - $270k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 90 days.
• Jobs at this company usually fill in 34 days.

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Shield AI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤖 Artificial Intelligence

🚀 Aerospace

🎖️ Defense

Artificial Intelligence • Aerospace • Defense

Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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