Senior AI-First Multi-Cloud Monitoring Engineer

Salesforce, Inc.; Ashington; Presencial; GBP 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Care

Life Insurance

Retirement Savings

Employee Assistance Programs

13 paid days off

Descripción de la vacante

Salesforce, Inc. is seeking an experienced SMTS to own and operate the Monitoring Cloud stack, ensuring reliability at scale across a multi-cloud footprint.

You will productize infrastructure, automate deployments with Terraform and Kubernetes, and apply AI-assisted development tools to accelerate inner-loop work while maintaining strict security and high availability. The role emphasizes architecture, security, on-call readiness, and delivering observable, resilient services for sensitive

Formación

• Hands-on experience managing infrastructure in AWS and/or GCP.
• Proficient in programming languages (e.g., Java, Python).
• Proficient with Kubernetes and Terraform.
• Experience managing or extending monitoring tools (Grafana), messaging systems (Kafka), Elasticsearch.
• 5+ years track record in distributed systems, API platforms, observability or DevOps at scale.
• AI-assisted development fluency using coding assistants in daily workflows.

Responsabilidades

• Own lifecycle of Monitoring Cloud stack, including upgrades and performance tuning.
• Bridge design and stability, productizing core components for internal teams.
• Design and implement automation frameworks using Terraform and Kubernetes.
• Standardize deployments across multi-cloud (AWS/GCP) to ensure consistency.
• Use AI-assisted tooling to draft code, tests, runbooks, and docs; maintain accountability.

Conocimientos

AWS / GCP

Kubernetes

Terraform

Grafana

Java / Python

Distributed systems

AI-assisted development

Herramientas

Grafana

Kafka

Elasticsearch

Descripción del empleo

Salesforce, Inc. is seeking an experienced SMTS to own and operate the Monitoring Cloud stack, ensuring reliability at scale across a multi-cloud footprint.

You will productize infrastructure, automate deployments with Terraform and Kubernetes, and apply AI-assisted development tools to accelerate inner-loop work while maintaining strict security and high availability. The role emphasizes architecture, security, on-call readiness, and delivering observable, resilient services for sensitive