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Rackspace Technology
Rackspace Technology
5,001 – 10,000 कर्मचारी
कृत्रिम बुद्धिमत्तापरामर्शलॉजिस्टिक्स
Rackspace Technology एक वैश्विक प्रबंधित क्लाउड सेवा प्रदाता है, जो उद्यमों को मल्टीक्लाउड, हाइब्रिड और निजी क्लाउड वातावरणों की रूपरेखा तैयार करने, उन्हें बनाने, स्थानांतरित करने और संचालित करने में सहायता करता है। इसका काम क्लाउड अवसंरचना, एप्लिकेशन आधुनिकीकरण, डेटा प्लेटफ़ॉर्म, कृत्रिम बुद्धिमत्ता और मशीन लर्निंग, साइबर सुरक्षा, प्रबंधित होस्टिंग, कोलोकेशन और प्रमुख हाइपरस्केलर के साथ एकीकरण तक फैला हुआ है। Rackspace विनियमित और मिशन-महत्वपूर्ण संगठनों के लिए परामर्श, पेशेवर और प्रबंधित सेवाओं को एक साथ लाता है, जिसमें सुरक्षा, अनुपालन, लागत अनुकूलन और विश्वसनीय संचालन पर जोर दिया जाता है। इसकी टीमें परामर्श, लॉजिस्टिक्स और कृत्रिम बुद्धिमत्ता से जुड़े क्षेत्रों में काम करती हैं तथा जटिल उद्यम क्लाउड कार्यक्रमों से संबंधित विभिन्न तकनीकी भूमिकाएँ प्रदान करती हैं।
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कंपनी की नौकरियाँ

Data Engineer V (Hybrid, United States)

Lead data engineering strategy for enterprise data warehouse pipelines and AI/RAG infrastructure at Rackspace Technology. Guide engineers, delivery standards, stakeholder roadmaps, operational metrics, and pipeline reliability.

USसंयुक्त राज्य
$1,65,830 – $2,43,141 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठलीडआवश्यक भाषा: अंग्रेज़ीडेटा इंजीनियर
AirflowSparkSQLक्लाउड

विवरण

  • Set technical direction, delivery standards, and daily execution for a data engineering pod
  • Manage the roadmap for core enterprise data warehouse pipelines and AI/RAG data infrastructure
  • Convert stakeholder priorities into actionable technical plans
  • Lead, mentor, and prioritize work across an engineering team
  • Coordinate Agile delivery and cross-functional handoffs with data science, security, and compliance teams
  • Establish standards for source management, version control, quality assurance, testing, and AI-assisted coding
  • Define the team metrics strategy, including SLA and SLO monitoring
  • Report pipeline uptime, MTTR, and data-quality KPIs to leadership after analyzing performance trends
  • Develop recovery plans to restore target performance when KPIs fall short
  • Direct root-cause analysis and remediation for complex pipeline and data-quality problems
  • Act as the primary technical contact for business and clinical stakeholders
  • Provide cost and budget input for cloud services and AI or vector-database usage
  • Maintain documentation, standard operating procedures, and escalation processes
  • Help manage the on-call rotation and lead escalations during incidents
  • Apply security and privacy requirements across the team's work

आवश्यकताएँ

  • Bachelor's degree in computer science, a related technical discipline, or equivalent practical experience
  • 8–12 years in technology roles, including substantial data-focused leadership
  • 6–8 years designing and implementing cloud-based data architectures
  • At least 2 years of formal experience leading engineers or technical workstreams
  • Expertise in SQL, data modeling, and semantic-layer architecture
  • Experience building batch and streaming systems with Spark, Airflow, Databricks, or Snowflake
  • Practical experience with CI/CD methodologies
  • Experience designing AI/RAG data pipelines, including embeddings, vector-store selection, and corpus curation
  • Experience using AI-assisted software development practices
  • Ability to mentor engineers, prioritize team workloads, and deliver Agile work on schedule
  • Ability to turn ambiguous business needs into clear technical plans and present to stakeholders and groups of 10 or more
  • Working knowledge of security and privacy requirements, including risks specific to AI
  • Cloud Professional Data Engineer or ML Engineer certification preferred
  • Healthcare compliance experience with frameworks such as HIPAA, HL7, or FHIR preferred
  • Experience establishing scalable LLM/RAG data architecture standards preferred

लाभ

  • Annual bonus or incentive compensation
  • Equity awards
  • Employee Stock Purchase Plan (ESPP)
  • Employee benefits, with details provided through Rackspace benefits information
  • Equal employment opportunity
  • Disability or special-needs accommodation

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