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Senior Staff Platform/Data Reliability Engineer

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Where this job comes from

Posted on Shield AI's careers page, not through a job board

First seen by Remote Rocketship 9 minutes ago

Logo of Shield AI

Shield AI

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, workflows, jobs, notebooks, code packages, infrastructure configuration, and dev-to-prod environment promotion • Design and maintain standards for job orchestration, cluster and compute policies, service principal usage, environment isolation, and production execution reliability • Establish reusable operational templates and enablement patterns for new domains onboarding to Databricks • Partner with the Senior Data Engineer on observable, recoverable, cost-aware, and secure ingestion and medallion patterns • Align Databricks configuration and usage patterns with enterprise cloud standards and commercial or government-hosted environments • Help enforce technical controls for data segregation, access boundaries, and operational compliance • Track and improve job success rates, incident trends, data pipeline reliability, cost efficiency, and environment drift • Document platform standards, operational expectations, and support models • Mentor internal engineers developing platform responsibilities

🎯 Requirements

• 12+ years of relevant experience in data platform engineering, platform operations, site reliability engineering, or modern cloud data infrastructure • Hands-on experience with Databricks or a closely related cloud data platform in production environments • 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 effectively in a regulated or security-sensitive environment with strong expectations around access control, auditability, and operational discipline • Strong collaboration skills and comfort partnering with cloud/infrastructure, security, data engineering, and analytics stakeholders • Databricks certification and/or strong demonstrated expertise with Delta Lake, Unity Catalog, Workflows, and Databricks Asset Bundles • Experience with infrastructure-as-code and platform automation in enterprise environments • Experience supporting commercial and government or otherwise segregated environments with different compliance and access requirements • Experience in defense, aerospace, federal, or another regulated industry • Cleared background and possible reference check required for offers • Authorization to work in the United States

🏖️ Benefits

• Bonus • Benefits • Equity • Temporary benefits package applicable after 60 days of employment • Equal employment opportunity and affirmative action workplace • Reasonable accommodation for disabilities or special needs

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