20 publicaciones de empleo destacadas en devops engineer (observability) (¡Están contratando!)

Databricks Architect
Luxoft —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Principal Associate SRE
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
2d
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
6d
Consulting Manager - Azure Cloud Resiliency Architect
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Java Backend Engineer - Azure Microservices
NTT Ltd —Ciudad de México, CDMX
- Azure
- DevOps
- Java
5d
Sr. Manager SRE (Individual Contributor)
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
2d
Senior Infrastructure Automation Engineer
Rockwell Automation —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
10d
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Postulación rápida
9d
Engineering Manager
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Senior Backend Software Engineer - Platform Enablement
Auction Technology Group —Guadalajara, Jal.
- DevOps
- Experiencia en bases de datos
- Python
Senior Manager - Performance Engineering
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
Full Stack Software Engineer .NET & React / Blazor
Enroute —Dinastía, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Seguro de vida
Postulación rápida
Lead Full Stack Engineer - Java, React
Ness Digital Engineering —Guadalajara, Jal.
- Tiempo completo
- Administración de personal
- DevOps
- Java
Sr Advanced Cloud Developer
Honeywell —Azcapotzalco, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
Principal Software Architect – Platform Integrations (with AI Focus)
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
- Seguro de vida
Sr Support Engineer II
Blue Yonder —Monterrey, N. L.
- Tiempo completo
- Azure
- Oracle
- Informática
Senior AI Copilot & Agent Platform Engineer
Lab49 —City, Hgo.
- Tiempo completo
- DevOps
- Inglés
- Servicios financieros
Data Platform Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- DevOps

Quiero recibir la alerta de empleo más reciente para devops engineer (observability)

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Databricks Architect

Luxoft -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

C1 Advanced
Azure
DevOps
Spark
Inglés
Google Cloud Platform
Control del costos
SQL
Scala
Seguridad
Apache
Experiencia en manufactura
Liderazgo
Python

Descripción completa del empleo

Project description

We are seeking a highly experienced Databricks Architect to lead the design, implementation, and optimization of enterprise-grade data platforms and AI-enabled workloads for a global food corporation. This role requires a hands-on technical leader who can translate business and data requirements into scalable Databricks-based solutions while ensuring robust governance, performance, and operational resilience. The ideal candidate will combine deep Databricks expertise with strong architecture leadership and the ability to operate within a managed service delivery model.

Responsibilities

Lead the architecture, design, and implementation of Databricks-based data platforms, pipelines, and AI/ML workloads.

Define scalable lakehouse patterns using core Databricks capabilities such as Apache Spark, Delta Lake, Databricks SQL, MLflow, and governance components.

Design robust batch and streaming data pipelines for high-volume, business-critical workloads.

Establish architecture standards for performance optimization, workload orchestration, reliability, observability, and cost control.

Translate business and technical requirements into solution blueprints, reference architectures, and implementation roadmaps.

Collaborate with data engineers, analysts, data scientists, DevOps teams, and business stakeholders to deliver end-to-end solutions.

Ensure strong data governance, security, and compliance practices across the Databricks environment.

Support AI and advanced analytics use cases by enabling reliable feature engineering, model lifecycle practices, and production-ready data foundations.

Provide technical leadership during solution delivery, troubleshooting, and optimization of existing workloads.

Act as a trusted advisor to client stakeholders, offering recommendations on architecture decisions, risks, trade-offs, and delivery priorities.

Skills

Must have

Deep hands-on expertise with the Databricks platform, including architecture, workspace design, cluster strategy, jobs orchestration, and platform optimization.

Strong command of Apache Spark and distributed data processing concepts, including performance tuning and optimization for complex data engineering workloads.

Proven experience designing and delivering enterprise data solutions using Delta Lake and lakehouse architecture principles.

Strong proficiency in Python and SQL; Scala is an advantage.

Demonstrated capability in building and optimizing ETL/ELT pipelines, data models, and large-scale ingestion frameworks.

Experience supporting AI/ML workloads on Databricks, including MLflow, model lifecycle considerations, and production-ready data preparation.

Solid knowledge of cloud-native architecture patterns on AWS, Azure, or GCP, including storage, networking, identity, and security integration.

Experience with data governance, access control, lineage, and compliance frameworks in enterprise environments.

Familiarity with CI/CD, infrastructure-as-code, monitoring, and operational best practices for data platforms.

Ability to engage in deep technical problem-solving and contribute immediately to complex delivery scenarios with minimal ramp-up time.

Nice to have

Databricks certifications relevant to data engineering, machine learning, or platform architecture.

Experience in large enterprise or global delivery environments with complex stakeholder landscapes.

Background in consumer goods, manufacturing, supply chain, or similarly data-intensive industries.

Experience with real-time processing, orchestration frameworks, and integration with enterprise data ecosystems.

Strong communication skills with the ability to explain architecture decisions to both technical and non-technical stakeholders.

Other

Languages

English: C1 Advanced

Seniority

Lead

Mexico City, Mexico

Req. VR-122964

Data Architecture

Cross Industry Solutions

29/06/2026

Req. VR-122964

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devops engineer (observability) empleos

Databricks Architect

Lead AI Forward Engineer

Principal Associate SRE

Senior Payments Engineer — Acquiring & Payment Processing

Consulting Manager - Azure Cloud Resiliency Architect

Senior Software Engineer

Senior Java Backend Engineer - Azure Microservices

Sr. Manager SRE (Individual Contributor)

Senior Infrastructure Automation Engineer

Senior Data Engineer

Engineering Manager

Senior Backend Software Engineer - Platform Enablement

Senior Manager - Performance Engineering

Full Stack Software Engineer .NET & React / Blazor

Lead Full Stack Engineer - Java, React

Sr Advanced Cloud Developer

Principal Software Architect – Platform Integrations (with AI Focus)

Sr Support Engineer II

Senior AI Copilot & Agent Platform Engineer

Data Platform Engineer

Quiero recibir la alerta de empleo más reciente para devops engineer (observability)

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