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

DevOps Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
GenAI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Ingeniero Senior de Plataforma Azure
Cummins Inc. —Guadalajara, Jal.
- Azure
- Oracle
- Administración de personal
ML Engineer — Automation
Aviva Financiera —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Sr. Backend Engineer (Golang)
Unpack Holdings Limited —México
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Experiencia en bases de datos
- SQL
Postulación rápida
5d
Senior Middleware Engineer
Partner One Capital —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Java
Postulación rápida
Software Development Engineer in Test (SDET)
OrderMesh —México
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Postulación rápida
Full-stack Lead/Senior Developer (C# + Angular)
Jalasoft —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Capacitación
Postulación rápida
Cloud Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- DevOps
- Desarrollo de software
8h
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- SQL
2h

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GenAI Engineer
EPAM Systems, Inc. —Desde casa
We are seeking a GenAI Engineer to lead the end-to-end development, deployment and operation of enterprise-grade AI-powered applications.
Oliver Wyman - GenAI Engineer - Mexico City
Oliver Wyman —City, Hgo.
Collaborate with data engineers, platform teams, and business stakeholders to operationalize AI capabilities. Oliver Wyman, a Marsh (NYSE: MRSH) business, is a…

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DevOps Engineer

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Azure
Kubernetes
DevOps
Inglés
Bash
Experiencia en bases de datos
SQL
Mejora continua
Linux
Habilidades de comunicación
Python
Shell Scripting

Descripción completa del empleo

We are looking for a DevOps Engineer to help maintain production Kubernetes-based systems for a major technology company that specializes in infrastructure supporting AI research.

This position brings together site reliability engineering, observability and SQL production support duties, with a clear focus on monitoring, metrics, dashboards and operational excellence. The right candidate will partner with established engineering and research teams to uphold system reliability, resolve production issues and steadily strengthen visibility into system health and performance across an Azure Stack environment.

Responsibilities

Design, maintain and progressively improve observability solutions, including dashboards and visual reports built with Grafana or comparable monitoring tools
Set up, implement and oversee metrics, SLIs, SLOs and alerting approaches to guarantee reliability and transparency across production systems
Deliver business-hours operational support for Kubernetes-based production environments, involving initial troubleshooting, log review and metric-based investigations
Assist with SQL-based systems as part of production operations, contributing to issue examination and performance diagnostics
Examine incidents and system behavior to pinpoint root causes, take part in post-incident reviews and suggest enhancements for monitoring and reliability practices
Work hand in hand with engineering, platform and research teams to raise observability standards, refine operational processes and strengthen overall system stability
Add to documentation, knowledge-sharing activities and ongoing improvement initiatives within the team

Requirements

At least 2 years of relevant hands-on professional experience
Demonstrated track record in Site Reliability Engineering (SRE), DevOps, Production Support or equivalent roles working with production systems
Practical exposure to observability and monitoring stacks including Grafana, Prometheus, Elastic Stack, Datadog or similar tools
Strong command of Linux systems, supported by solid troubleshooting and log analysis capabilities
Working experience supporting Kubernetes-based environments in production settings
Background in delivering SQL production support, including query troubleshooting and basic performance diagnostics
Confident scripting skills in Python, Bash or similar languages for automation and day-to-day operational activities
Capability to investigate incidents, determine underlying causes and drive continuous improvement efforts
Effective communication and teamwork skills for working successfully with distributed and cross-functional teams
Proficient English communication skills, both spoken and written, at a B2+ level or higher

Nice to have

Experience handling APIs and integration patterns to link services together and enable system interoperability
Knowledge of databases, covering administration, tuning and production-level support activities
Exposure to Infrastructure as Code development and maintenance for automating environment provisioning and configuration
Practical experience using Microsoft Azure to manage cloud resources and run production workloads

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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devops engineer (observability) empleos

DevOps Engineer

GenAI Engineer

Lead AI Forward Engineer

Ingeniero Senior de Plataforma Azure

ML Engineer — Automation

Sr. Backend Engineer (Golang)

Senior Middleware Engineer

Software Development Engineer in Test (SDET)

Full-stack Lead/Senior Developer (C# + Angular)

Cloud Engineer

Senior Payments Engineer — Acquiring & Payment Processing

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