20 publicaciones de empleo destacadas de devops engineer (data & ai platform) en miguel hidalgo, dif (¡Están contratando!)

V Staff Backend Engineer
Qualifinds —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Licenciatura
Postulación rápida
4h
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
Staff Backend Engineer
Qualifinds —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Licenciatura
Postulación rápida
4h
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Site Reliability Engineer Lead
HCLTech —Cuauhtémoc, CDMX
- Oracle
- DevOps
- Habilidades de comunicación
Senior IT Engineer (Regulatory Reliability) - MX - 2026
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- Inglés
- SQL
- Seguro dental
- Seguro de la vista
Postulación rápida
2d
Senior Talent Acquisition Partner, AI & Tech (LATAM)
Medallia —Cuauhtémoc, CDMX
- $13,400 por mes
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Senior Infrastructure Automation Engineer
Rockwell Automation —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Application Engineer II -Frontend, Mexico City (MX)
Swiss Re —Ciudad de México, CDMX
- Azure
- DevOps
- JavaScript
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
10d
Senior Software Engineer - Go Engineer - Platform Services
Delinea —Ciudad de México, CDMX
- $75,000 a $90,000 por año
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
II Staff Backend Engineer
Qualifinds —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Licenciatura
Postulación rápida
4h
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
.Net Jr Developer
Delinea —Ciudad de México, CDMX
- $55,000 a $60,000 por mes
- Tiempo completo
- Azure
- Administración de personal
- Informática
- Seguro de vida
AI Native Software Engineer (Background core Java/React)
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
10d
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
IoT Full Stack Developer
NTT Ltd —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Azure Engineer III
McDonald's Corporation —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Access
- Azure
- Administración de personal
Postulación rápida
Senior Software Development Engineer - Report/Audit team
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Seguro de vida
2d
Senior IT Engineer - Endpoint Engineering
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
9d

Quiero recibir la alerta de empleo más reciente para devops engineer (data & ai platform) en miguel hidalgo, dif

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V Staff Backend Engineer

Qualifinds
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 4 horas

Cualificaciones

Modelos de inteligencia artificial
Modelado de datos
Azure
Derecho
Kubernetes
DevOps
Google Cloud Platform
Docker
Licenciatura
PostgreSQL
Kafka
Redshift
Python

Descripción completa del empleo

About the Company:

WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art tokenization), we combine deep industry expertise with technologies like AI and blockchain to modernize a $2.9 trillion global asset class.

We're already generating significant revenue and recently raised our Series A from top-tier VCs. Now, we're building the next-generation platform to unlock liquidity, trust, and intelligence in the art market-and we're looking for exceptional engineers to help us do it.

Why Join Us:

Meaningful equity and competitive compensation.
High-impact role at a growing company with revenue, funding, and a compelling vision
Build at the intersection of art, fintech AI,and blockchain.
A collaborative, pragmatic team that values speed, clarity, and technical quality.
Remote-flexible culture with an HQ in NYC.
Backend by top VCs and trusted by leading collectors, advisors, and institutions.

Job Objective:

We're hiring a Staff Backend Engineer to be the technical leader and architect of our backend systems. As one of the first engineering hires, you'll own the entire backend architecture-from foundational infrastructure and API design to AI-driven data pipelines and system scalability.

This is a tech lead role: you'll set technical direction, mentor future backend hires, and establish the engineering culture and standards that will scale with the company.

Reporting & Collaboration:

You'll report directly to our Head of Engineering, a highly hands-on technical leader who you'll partner closely with on architecture decisions and technical strategy. Together, you'll co-own the backend vision-balancing immediate product needs with long-term scalability. Our Head of Engineering is deeply involved in code, design reviews, and technical discussions, so you'll have a close working relationship focused on building world-class systems.

You'll also work closely with our CPO (Chief Product Officer) and company leadership to translate product vision into robust, scalable systems. This isn't just about writing code-it's about making architectural decisions, evaluating tradeoffs, and building systems that can evolve as we grow the engineering team.

This is an AI-native environment. We move fast using tools like Cursor and Claude Code, build with LLM APIs from OpenAI and others, and actively leverage AI in our product and development workflows. If you're excited about being a technical leader who ships production software with AI as a core tool, you'll thrive here.

Responsibilities:

Technical Leadership & Architecture:

Own the entire backend architecture from day one-make the critical decisions on frameworks, databases, infrastructure, and patterns
Define technical standards and best practices for code quality, testing, documentation, and deployment
Lead system design for complex problems involving data ingestion, LLM orchestration, and real-time analytics
Mentor and guide future backend engineers as the team grows (you'll likely hire and lead 2-3 backend engineers in your first year)
Evaluate and adopt new technologies that improve velocity, reliability, or capabilities

Hands-On Development:

Build and scale core backend systems to ingest, clean, and serve structured data at scale
Design clean, performant APIs to power our client portal, data tools, and internal
services
Architect event-driven systems and asynchronous pipelines (queues, pub/sub) for
reliability and scale
Own our infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS)

Cross-Functional Collaboration:

Co-own technical vision with Head of Engineering: collaborate daily on architecture, technical roadmap, and engineering standards
Partner closely with CPO and product team to shape roadmap based on technical feasibility and effort
Collaborate with data and frontend engineers to define APIs, contracts, and integration patterns
Work with company leadership (Head of Engineering, CPO, President) on technical strategy, hiring, and long-term platform vision
Communicate technical decisions clearly to non-technical stakeholders

Requirements:

B.S in Computer Science or equivalent
Experience 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company.
Leadership: Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale.
Expert in Python with deep understanding of performance, concurrency, and design patterns.
Strong database expertise (PostgreSQL or similar) including query optimization, schema design, and data modeling
Deep knowledge of distributed systems including event-driven architectures, message queues, and async patterns (Celery, Kafka, SQS, etc.)
Production experience with AWS (or GCP/Azure) including compute, storage, networking, and managed services
Strong DevOps fundamentals: Docker, Kubernetes/ECS, Terraform, CI/CD, monitoring/observability
Data engineering fluency: ETL/ELT patterns, data lakes vs. warehouses, pipeline orchestration

Mindset:

You balance pragmatism with technical excellence-you know when to move fast and when to invest in infrastructure
You have a bias toward simplicity and can articulate tradeoffs clearly
You're excited about AI tooling and actively use tools like Cursor, Claude, or Copilot to increase velocity
You thrive in ambiguity and can chart technical direction with incomplete information

Preferred:

Experience building 01 products at early-stage startups (seed through Series B)
Hands-on experience with LLM/AI integration in production systems-you've shipped features using OpenAI, Anthropic, or open-source models
Prior tech lead or staff engineer experience at a Series A+ company
Experience with ML/AI model deployment and managing inference costs/latency
Familiarity with data warehousing (Snowflake, BigQuery, Redshift) and analytics tools
Domain knowledge in art, collectibles, fintech, or fragmented asset classes
Experience hiring and building teams (you'll be involved in hiring future backend engineers)

Perks

Schedule: Monday to Friday, 9:00 am to 6:00 pm
Modality: Full-time, Contractor, Remote in Mexico, Colombia, or Argentina, or the US

Salary: $140,000 to $160,000 USD net annually

Equity

Postulación rápida

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devops engineer (data & ai platform) empleos en miguel hidalgo, dif

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Quiero recibir la alerta de empleo más reciente para devops engineer (data & ai platform) en miguel hidalgo, dif

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