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Boeing
Boeing
Sponsor pentru viza H1BConsultanțăIndustria aerospațialăIndustria prelucrătoare
Boeing este un producător global de produse aerospațiale și o companie de apărare care dezvoltă și produce aeronave comerciale, aeronave cu rotoare, rachete, sateliți, echipamente de telecomunicații și rachete. Operațiunile sale includ Boeing Commercial Airplanes, Boeing Defense, Space & Security și Boeing Global Services, reunind echipe numeroase de inginerie, producție și asistență. Compania contribuie, de asemenea, la inițiative de cercetare și explorare aerospațială, inclusiv proiecte derulate împreună cu NASA, urmărind în același timp dezvoltarea unor tehnologii aviatice cu emisii mai reduse și a aeronavelor de nouă generație. Pentru persoanele aflate în căutarea unui loc de muncă, Boeing oferă oportunități în domenii precum producția aerospațială, apărarea, sistemele spațiale, ingineria, serviciile și disciplinele tehnice conexe.
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Locurile de muncă ale companiei

Senior Cloud Solution Architect at Boeing

Design scalable AWS data, AI, and analytics platforms at Boeing. Build reusable cloud frameworks, self-service architectures, and FinOps solutions.

USStatele Unite ale AmericiiALAlabamaAZArizonaCACaliforniaCOColoradoFLFloridaILIllinoisMOMissouriOROregonPAPennsylvaniaSCCarolina de SudTXTexasVAVirginiaWAWashington
172.550 $ – 249.550 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de soluții
ApacheAWSAzureCloudDockerKubernetesMicroserviciiSpark

Descriere

  • Set the strategy and deliver reliable, scalable cloud platforms for data and analytics.
  • Create and roll out reusable frameworks for data and AI solutions.
  • Define architecture best practices, standards, and guidelines across the organization.
  • Design and implement self-service frameworks so business units can build compliant solutions.
  • Develop cloud economics frameworks to track costs and inform financial decisions.
  • Build hands-on proofs of concept and minimum viable products for critical capabilities.
  • Coordinate project communications, stakeholder reviews, cross-team alignment, and technical research.
  • Build working relationships with technology and consulting vendors, partners, and cross-functional teams, and hold them accountable.
  • Keep current with cloud and data architecture tools, technologies, and practices.
  • Work with cross-functional teams to translate business needs into reliable, scalable, secure, and cost-effective designs.

Cerințe

  • At least 10 years of data architecture experience focused on data platforms and technologies.
  • At least 5 years designing and implementing scalable computing infrastructure for data solutions, including AWS, Azure, or Google Cloud architectures.
  • At least 5 years working with Apache Spark or Databricks.
  • At least 5 years building reusable cloud and data architecture frameworks, including self-service frameworks.
  • At least 5 years in data security, governance, and compliance, including encryption, role-based access, metadata management, and alignment with FedRAMP, NIST, and GDPR.
  • At least 5 years modernizing legacy technology for cloud environments and refactoring monoliths into microservices using DDD, event storming, strangler fig, transitional architectures, or related techniques.
  • At least 3 years in cloud economics, FinOps, or IT compliance roles.
  • At least 3 years designing solutions with machine learning, generative or agentic AI, deep learning, optimization, or other advanced AI techniques.
  • Preferred: Bachelor of Science or higher in engineering, computer science, mathematics, physics, chemistry, or another technical field from an accredited program.
  • Preferred: At least 5 years in manufacturing or aviation and aerospace.
  • Preferred: At least 3 years developing enterprise data ontologies and semantic models.
  • Preferred: At least 3 years building containerized and serverless architectures with Docker, Kubernetes, AWS Lambda, and Azure Functions.
  • Preferred: At least 2 years implementing self-service analytics platforms using modern BI tools and APIs.
  • Preferred: At least 3 years in data science, statistics, machine learning, and generative AI.
  • Preferred: At least 3 years in application integration, APIs, and microservices.
  • Candidates must pass the company’s conflict-of-interest assessment process.
  • Must meet U.S. export control requirements and qualify as a U.S. Person under 22 C.F.R. §120.62.
  • The employer does not sponsor employment visas.
  • Post-offer applicants and employees may be subject to drug testing when applicable criteria are met.
  • Language requirements: Not applicable.
  • Education: Not applicable.
  • Security clearance is not required.

Beneficii

  • Competitive base pay.
  • Variable compensation opportunities.
  • Health insurance.
  • Flexible spending accounts.
  • Health savings accounts.
  • Retirement savings plans.
  • Life and disability insurance programs.
  • Paid time away from work.
  • Unpaid time away from work.
  • Relocation assistance is not a negotiable benefit for this position.

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Boeing

Senior Cloud Solution Architect – Data and AI

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Sponsor pentru viza H1BConsultanțăIndustria aerospațialăIndustria prelucrătoare
USStatele Unite ale AmericiiALAlabamaAZArizonaCACaliforniaCOColoradoFLFloridaILIllinoisMOMissouriOROregonPAPennsylvaniaSCCarolina de SudTXTexasVAVirginiaWAWashington
172.550 $ – 249.550 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de soluții
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