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¡Impulsa tu Carrera en la Nube con Google Cloud! ¡ ¿Buscas nuevas oportunidades en el apasionante mundo de la ingeniería? La apertura de posiciones en el equipo de Google Cloud, específicamente en soluciones técnicas en la nube, ingeniería de socios y ingeniería de IA en la nube, está captando la atención de muchos profesionales en la industria. E La pregunta es: ¿estás listo para dar el siguiente paso en tu carrera? Contextualización con Datos Clave La digitalización ha transformado la manera en que las empresas operan, y la demanda de ingenieros en este ámbito ha crecido exponencialmente. Según un informe de LinkedIn, el empleo en el sector de ingeniería en la nube ha aumentado en un 35% en el último año, siendo fundamental para empresas que buscan optimizar sus procesos y adoptar tecnologías avanzadas. s Con el impulso de avances tecnológicos, Google Cloud se posiciona como uno de los jugadores clave en la provisión de soluciones innovadoras, llevando a sus equipos a buscar nuevo talento para mantenerse a la vanguardia. Conexiones y Tendencias con Base en Datos La relación entre la creciente demanda de ingenieros de nube y la adopción de soluciones de inteligencia artificial está generando un cambio significativo en la industria tecnológica. Se estima que, para 2025, el mercado de la inteligencia artificial en la nube alcanzará los 100 mil millones de dólares, lo que implica un notable aumento en la creación de puestos de trabajo en este sector. t Al unirte a Google Cloud, no solo accedes a un trabajo, sino que te conviertes en parte de una revolución en la manera en que se gestionan y utilizan los datos. Incorporación de Datos y Estadísticas Cruciales Con más del 60% de las empresas globales incorporando soluciones en la nube, el futuro de la ingeniería se ve aún más brillante. Los estudios indican que estas oportunidades crecerán un 25% en los próximos cinco años, lo que representa un camino lleno de deseos de aprendizaje e innovación para talentos como tú. a Conclusiones y Proyecciones Basadas en Hechos A medida que la nube se convierte en un componente esencial de las estrategias empresariales, las oportunidades en ingeniería de Google Cloud seguirán expandiéndose. Este es el momento perfecto para que profesionales motivados y apasionados se unan a un equipo que está redefiniendo el futuro digital. La pregunta es: ¿estás preparado para aprovechar este potencial? El futuro que anhelas y la carrera que merece tu talento te están esperando en Google Cloud https://goo.gle/3X0z2vW m. ¡No pierdas la oportunidad de ser parte de algo grande!

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🔔 Enterprise gen AI application performance at low cost Learn More ➞ https://cutt.ly/4egbEgfx The use of large language models (LLMs) and AI tools has rapidly expanded, increasing the demand for more simplified and cost-saving LLM and generative AI production scaling solutions. Engineers need flexible solutions with diverse integrations that won’t disrupt daily operations. Redis® Cloud on Amazon Web Services (AWS) is a fast and versatile engine for your AI applications. Use it to store embeddings for LLM retrieval-augmented generation (RAG) implementations in production at scale with no additional tools. Try it out in AWS Marketplace with a 14-day free trial then pay-as-you-go. Learn More ➞ https://cutt.ly/4egbEgfx

The job boards are screaming out for GCP engineers. Where are you? It's no surprise that there's a big recruitment drive for talent in this space and that these candidates are highly sought out. Google Cloud adoption has jumped up substantially since last year (28% in fact) and is continuing to rise at pace. Maybe it's because GCP is at the forefront of Machine Learning, Artificial Intelligence, Data Management and Analytics. Everything that every business is focusing on. Think about Google Search, Google Lens, Gmail, Photos, Maps, YouTube. Powered by ML, AI, Data. For over a decade. Google Cloud might be seen as the new cloud on the block but in reality they've been innovating in the background for years. If you're not certified in GCP, it's time! #googlecloudplatform #gcpengineers #solutionarchitect #cloudarchitect #devops #dataengineer #genai #machinelearning

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Google's AI-fueled gains in cloud bode well for Amazon, Microsoft Google Cloud’s recent gains, fueled by AI, indicate expanding opportunities in the broader cloud market that could benefit competitors like Amazon Web Services (AWS) and Microsoft Azure. In Q3, Google reported increased revenue driven by AI and data services, with notable customer traction in generative AI offerings. While Google trails AWS and Azure in market share, the surging demand for AI-enabled cloud solutions is boosting the entire sector. Both AWS and Microsoft expect continued high AI-driven demand, each forecasting significant revenue growth in cloud services over the coming years. #techinspiration #motivation #nevergiveup #believeinyourself #innovation #startups #successstory #AccentureConsultir #DeloitteConsulting #Google #microsoft #HclAmerica #USAJobs #hiring #lookingforjob #needofjob #lookingforchange #openpositions #openrequireemnts #openjob #greatjob #greatplacetowok #directclient #google #googlesearch #staffing #hiring #post #usitstaffing #staffingindustry #jobs #vendorlist #careers #consultants #data #hotlist #usrecruitment #itrecruiters #jobseekers #usitstaffing #usitrecruitment #contractjobs #contractjob #careers #availableconsultant #availableconsultants #benchsales #c2c #c2crequirements #candidate #candidatessearching #contractual #corp2corp #corps #corptocorp #contractjobs #contractjobs #lookingforjob #connections #Recruiting #openpositions #c2c #contract #ImmediateRequirement #Hiringnow #onsite #onsitejob #onsiteposition #directclient #stateclients

BLUF: We are expanding the Cloud CTO organization in EMEA, apply here: https://lnkd.in/gGzE7Xda One of the keys to success for our group over the years has been to staff the team with an unusually dissimilar set of engineers, technologists and leaders. Creating great technology for millions of organizations requires looking at problems and possible solutions from a variety of angles. So we are casting a wide net to make sure we keep that healthy tension front and center in our work. If you click that link, check out the job description and think "hey, that sounds like me" but might be wondering how is this different from other more traditional sales or engineering technologist teams, here are a few of my thoughts: First, the magnitude of top-end talent, from a wide variety of backgrounds and specialities, concentrated in such a small organization. Most current staff tell us that the opportunity to access the breadth of Google and Alphabet technology was the compelling reason to join, but the people they get to work with keeps them here. Need a world expert in chip design to bounce your multimodal GenAI efficiency idea off of? No problem. Need a world expert in ML Ops to help a customer you are working with design their approach to leveraging both raw compute and managed data and machine learning pipelines effectively at scale? No problem. Want to grab a small group to do an impromptu hackathon on the latest knowledge graph driven precision health AI approaches? No problem.  Second, the alignment of incentives and governance for our unique mission enables our team to do their deep work, which often takes years to realize. The team’s design aligns to its strategic nature, and the pressure we deal with is self-induced: we want to create breakthroughs for our customers as quickly as possible, and we want our fellow Googlers to succeed in creating the business impact that follows from these breakthroughs as quickly as possible. So we have carved out joint priorities with our internal collaborators that ensure we are providing maximum value and leverage Third, support for the individual ideas, passions and projects that might not be the highest priority elsewhere. In OCTO, most of what you work on is determined by you. This creates a great opportunity to leverage your years of experience to build and scale on a path and timeline that is largely self-directed. Sometimes you lead, sometimes you follow others. But in every case, you are truly responsible for your own path to impact. You have a team of peers who have explicit incentives and unusually collaborative dispositions to help you along the way. We share both our successes and failures openly, incentivize calculated risk taking and know that to push the boundaries of what’s possible, we have to be willing to push through the times when no path seems viable. Hope you'll consider joining us!

After years at Google Search, I moved to Core, a non-user facing team, to work with colossal amounts of data. I loved my work at Search, we had clear metrics to measure user behavior and how my work improved their experience. And then, I was considering moving to the team that computes those metrics and helped us understand the impact of our work. The big question in my mind was, how do we talk about impact in _this_ team? And I did find the answer. Teams in Core have a multiplicative impact on Google. My team not only helps Google Search understand its impact, it also helps Ads, Cloud, Play, Maps… virtually, all of Google’s products. We work with a gigantic scale of data and solve hard computer science problems that accompany such a scale. For example, an optimization that my team landed this year saved RAM to the tune of petabytes. If solving hard problems at scale excites you, explore our open roles: https://lnkd.in/d2SQzZAr, https://goo.gle/4cz3K4W,  https://goo.gle/em_mlinfra #BuildForEveryone  #LifeatGoogleAPAC

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