12 publicaciones de empleo destacadas de sr. startup solution architect, en ciudad de méxico, dif (¡Están contratando!)

Sr. Startup Solution Architect, GenAI
Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- Licenciatura
Senior Software Engineer
Impulse latam —Miguel Hidalgo, CDMX
- $70,000 a $85,000 por mes
- Tiempo completo
- Inglés
- JavaScript
- Python
Postulación rápida
Senior Application Engineer, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- JavaScript
Senior Full Stack Engineer
Peek —Ciudad de México, CDMX
- $950,000 a $1,385,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Java
- SQL
- JavaScript
Sr. Fullstack Engineer
Alcor —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Java
Postulación rápida
Senior Software Engineer with Accounting Experience (LATAM)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Frontend Engineer (Contract) - Remote
Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- JavaScript
Postulación rápida
Backend Developer
AP Consulting —Ciudad de México, CDMX
- Hasta $80,000 por mes
- Tiempo completo
- Inglés
- SQL
- JavaScript
Postulación rápida
Senior Dev Ops Engineer
Peek —Ciudad de México, CDMX
- $950,000 a $1,300,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Senior Backend Engineer (with Frontend Competency) (Ingeniero Backend Senior con Competencia Frontend) - Hybrid
Clara —Ciudad de México, CDMX
- Inglés
- Java
- Experiencia en bases de datos
5d
Senior Software Engineer
Alcor —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Enterprise Account Executive, Growth
MongoDB —Ciudad de México, CDMX
- Azure
- Salesforce
- Experiencia en bases de datos
- Permiso de maternidad y paternidad
3d

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Sr. Startup Solution Architect, GenAI

Amazon Web Services Mexico S. de R.L. de C.V. -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Plurilingüe
Inglés
Experiencia en bases de datos
Licenciatura
Desarrollo de software
Servicios web

Descripción completa del empleo

DESCRIPTION

Do you like startups? Are you an expert in the development and tuning of mdodels, practical application of GenAI, AI, and ML? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.

Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that’s capital, engineering resource, or experience. This is where you come in.

We are looking for technical builders who love the idea of working with early-stage startups in Mexico to help them as they grow. In this role, you’ll work directly with a variety of interesting customers and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.

As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.

As well as spending time working directly with customers, you’ll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it’s important that we can help startups take advantages of the right ones. You’ll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don’t get to work with on a 1:1 basis you’ll share knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities

Help a diverse range of generative AI-focused startups to develop, train and adopt the right architecture at each part of their lifecycle
Support startups in architecting scalable, reliable and secure solutions
Support adoption of a broad range of AWS services to deliver business value and accelerate growth
Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs

About the team
Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
3+ years of design, implementation, or consulting in applications and infrastructures experience
10+ years of IT development or implementation/consulting in the software or Internet industries experience
Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience in defining and creating benchmarks for assessing GenAI model performance
Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
Business Communication in English and Spanish

PREFERRED QUALIFICATIONS

5+ years of infrastructure architecture, database architecture and networking experience
Experience working with end user or developer communities

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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