DXC Technology

Global IT services for enterprise modernization

AIOps Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours

Full-timeSantiago, Santiago Metropolitan Region, ChileNo salary listedIn-person

About the Job

Requirements

At least 5 years of experience in IT operations, SRE, platform engineering, or monitoring, including at least 3 years in observability or AIOps.
Demonstrated experience implementing and administering at least two observability platforms, such as Dynatrace, Grafana, Zabbix, Elastic, Splunk, or equivalents.
Proficiency in automation with Ansible and/or Terraform, including developing playbooks, modules, and automated runbooks.
Experience integrating monitoring platforms with ITSM and CMDB tools such as BMC Helix, ServiceNow, or equivalents.
Strong knowledge of Linux and Windows operating systems, networking, and distributed application architectures.
Experience operating workloads with at least one public cloud provider and in hybrid environments.
Programming and scripting skills in Python, Bash, or PowerShell, and experience using Git and version control.
Knowledge of SRE practices, including SLIs/SLOs, error budgets, incident management, and postmortems.

Responsibilities

Design and implement a full-stack observability strategy covering infrastructure, applications, user experience, and business metrics.
Instrument services with metrics, logs, distributed traces, and events, and promote open standards such as OpenTelemetry.
Define and maintain SLIs, SLOs, and error budgets with service owners.
Build dashboards for technical, operational, and business audiences, and eliminate low-value alerts.
Implement anomaly detection, event correlation, and event grouping to reduce noise and alert fatigue.
Apply AI/ML models and generative assistants to root-cause analysis, degradation prediction, and action recommendations.
Develop and maintain AI use cases based on telemetry data, changes, and historical incidents.
Generate technical and knowledge documentation with AI assistance, keeping it current and verified.
Integrate the observability platform with the ITSM tool to create, enrich, and automatically close incidents and changes.
Maintain correlation between alerts, business services, and CMDB configuration items.
Ensure end-to-end traceability between events, incidents, changes, and remediation.
Automate generation and distribution of availability, SLA/SLO compliance, MTTD/MTTR, and postmortem reports.
Build operational efficiency metrics that demonstrate the return on automation initiatives.
Design, develop, and operate event-triggered automated runbooks and self-remediation workflows.
Code infrastructure and configuration using IaC and configuration management, and manage them under version control.
Automate recurring operational tasks, including server patching cycles and scheduled updates.
Measure automation coverage and sustained reductions in manual intervention.
Operate continuous monitoring for critical platforms and their automatic escalation policies.
Configure on-call workflows, rotations, duty policies, and mobile notifications.
Integrate alerts with collaboration tools to support coordinated real-time response.
Participate in continuous improvement of incident management and blameless postmortems.
Consolidate information from multiple monitoring, ITSM, and automation sources into a unified view.
Standardize taxonomies, tagging, and data models to ensure consistency across tools.
Extend observability and automation to multicloud and hybrid environments using consistent instrumentation and cost-control criteria.
Ensure connectivity, collection, and normalization of telemetry across public cloud, private cloud, and on-premises environments.

Desired Qualifications

Experience applying AI/ML models or generative assistants to operational use cases.
Cloud certifications in AWS, Azure, or GCP; Kubernetes CKA certification; ITIL v4 certification; or observability-platform certifications.
Experience with Kubernetes, OpenTelemetry, and microservices architectures.
Knowledge of FinOps and optimization of telemetry and cloud costs.
Intermediate-to-advanced technical English.

Job Description:

Responsabilidades principales

1. Observabilidad de negocio, aplicaciones y procesos

Diseñar e implementar la estrategia de observabilidad full-stack: infraestructura, aplicaciones, experiencia de usuario y métricas de negocio.
Instrumentar servicios con métricas, logs, trazas distribuidas y eventos; promover estándares abiertos (OpenTelemetry).
Definir y mantener SLIs, SLOs y error budgets junto con los dueños de servicio.
Construir dashboards por audiencia (técnica, operativa y de negocio) y eliminar alertas de bajo valor.

2. Análisis predictivo de incidentes futuros (AIOps)

Implementar detección de anomalías, correlación y agrupación de eventos para reducir ruido y fatiga de alertas.
Aplicar modelos de IA/ML y asistentes generativos para análisis de causa raíz, predicción de degradaciones y recomendación de acciones.
Desarrollar y mantener casos de uso de IA sobre datos de telemetría, cambios e incidentes históricos.
Generar documentación técnica y de conocimiento asistida por IA, manteniéndola vigente y verificada.

3. Integración con procesos ITIL / CMDB

Integrar la plataforma de observabilidad con la herramienta de ITSM para creación, enriquecimiento y cierre automático de incidentes y cambios.
Mantener la correlación entre alertas, servicios de negocio y elementos de configuración (CIs) de la CMDB.
Asegurar trazabilidad extremo a extremo entre evento, incidente, cambio y remediación.

4. Reportes automatizados e integrados

Automatizar la generación y distribución de reportes de disponibilidad, cumplimiento de SLA/SLO, MTTD/MTTR y postmortems.
Construir métricas de eficiencia operativa que evidencien el retorno de las iniciativas de automatización.

5. Remediación automática

Diseñar, desarrollar y operar runbooks automatizados y flujos de auto-remediación disparados por eventos.
Codificar infraestructura y configuración (IaC / configuration management) y gestionarla bajo control de versiones.
Automatizar tareas recurrentes de operación, incluido el ciclo de parchado de servidores y actualizaciones programadas.
Medir cobertura de automatización y reducción sostenida de intervención manual

6. Monitoreo automatizado 7x24 con autoescalamiento

Operar el monitoreo continuo de plataformas críticas y sus políticas de escalamiento automático.
Configurar flujos de on-call, rotaciones, políticas de guardia y notificaciones móviles.
Integrar alertas con herramientas de colaboración para respuesta coordinada en tiempo real.
Participar en la mejora continua del proceso de gestión de incidentes y en postmortems sin culpa.

7. Panel unificado

Consolidar en una vista única la información proveniente de múltiples fuentes de monitoreo, ITSM y automatización.
Estandarizar taxonomías, etiquetado y modelo de datos para garantizar consistencia entre herramientas.

8. Puerta de enlace para modelos multinube e híbridos

Extender la observabilidad y la automatización a entornos multinube e híbridos, con criterios homogéneos de instrumentación y control de costos.
Asegurar conectividad, recolección y normalización de telemetría entre nube pública, nube privada y on-premise.

Stack tecnológico

DominioTecnologías

Observabilidad full-stack: Dynatrace, Grafana, Zabbix, Elasticsearch / Elastic Stack, OpenTelemetry

AIOps e IA aplicada: Gemini, Claude, OpenAI / ChatGPT y copilotos de IA; detección de anomalías, correlación de eventos, análisis predictivo

Automatización y orquestaciónAnsible, Ansible AWX, Terraform, Puppet, n8n

ITSM / ITIL / CMDB: BMC Helix (gestión de incidentes, cambios, CMDB, reportería)

Release management: Git, GitHub, flujos GitOps y CI/CD

Nube e infraestructura: AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud; entornos híbridos y on-premise

Contenedores y plataforma: Kubernetes, Docker (deseable)

Lenguajes y scripting: Python, Bash, PowerShell; consultas tipo PromQL / SPL / KQL

Requisitos

Obligatorios

5+ años de experiencia en operaciones de TI, SRE, ingeniería de plataforma o monitoreo, con al menos 3 años en observabilidad o AIOps.
Experiencia comprobable implementando y administrando al menos dos plataformas de observabilidad (Dynatrace, Grafana, Zabbix, Elastic, Splunk o equivalentes).
Dominio de automatización con Ansible y/o Terraform, incluyendo desarrollo de playbooks, módulos y runbooks automatizados.
Experiencia integrando plataformas de monitoreo con herramientas ITSM y CMDB (BMC Helix, ServiceNow o similares).
Sólido conocimiento de sistemas operativos Linux y Windows, redes, y arquitecturas de aplicaciones distribuidas.
Experiencia operando cargas en al menos un proveedor de nube pública y en entornos híbridos.
Programación y scripting (Python, Bash o PowerShell) con uso de Git y control de versiones.
Conocimiento de prácticas SRE: SLIs/SLOs, error budgets, gestión de incidentes y postmortems.

Deseables

Experiencia aplicando modelos de IA/ML o asistentes generativos a casos de uso operativos.
Certificaciones en nube (AWS/Azure/GCP), Kubernetes (CKA), ITIL v4 o en plataformas de observabilidad.
Experiencia con Kubernetes, OpenTelemetry y arquitecturas de microservicios.
Conocimiento de FinOps y optimización de costos de telemetría y nube.
Inglés técnico intermedio-avanzado.

Competencias

Pensamiento sistémico y orientación a la causa raíz, no al síntoma.
Automatización por defecto: aversión al trabajo manual repetible.
Comunicación efectiva con audiencias técnicas y de negocio.
Autonomía y capacidad de influir técnicamente sin autoridad formal.
Rigor en documentación y transferencia de conocimiento.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

About the Company

DXC Technology

Global IT services for enterprise modernization

DXC Technology provides IT services to large enterprises, helping them manage and modernize mission-critical systems. It offers consulting, system integration, and managed services that are typically delivered under long-term contracts. The core offering is the Enterprise Technology Stack, which modernizes IT infrastructure, optimizes data architectures, and ensures security and scalability across public, private, and hybrid cloud environments. By applying this stack, DXC helps clients run reliable and scalable IT operations while migrating workloads to the cloud and strengthening data governance. The company differentiates itself with a global reach, a large Fortune 500 client base, and a track record of long-term partnerships, coupled with commitments to sustainability and corporate responsibility. The goal is to be a trusted partner that enables enterprises to operate, secure, and evolve their IT environments efficiently and effectively.

Company size: 10,001+
Company stage: IPO
Headquarters: McLean, VA
Founded: 2017

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