DevOps Engineer - AI

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DevOps Engineer - AI in Remote new

IFS
Full time
Email

Remote
10/16/2026
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APAC

Responsibilities

Design, build, and maintain cloud-native infrastructure supporting AI workloads across development, test, UAT, and production.
Implement infrastructure as code using Terraform and/or Bicep and optimize infrastructure performance, cost, resilience, and availability.
Build and maintain CI/CD pipelines and automate model deployment, validation, testing, rollback, retraining, and release workflows.
Support model lifecycle management, versioning, monitoring, governance, and operationalization of AI solutions.
Manage identities, secrets, certificates, access controls, security scanning, vulnerability remediation, and platform hardening.
Establish monitoring, alerting, logging, and observability frameworks; troubleshoot incidents and perform root-cause analysis.
Define and monitor platform SLAs, SLOs, and operational metrics while improving platform stability and delivery efficiency.
Partner with AI Engineers and Solution Architects, support production releases, contribute reusable platform templates, and mentor development teams on DevOps and AI operations.

Requirements

At least 3 years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or a similar role.
Bachelor's degree in computer science, software engineering, data science, mathematics, statistics, or a related technical field.
Hands-on experience with Microsoft Azure.
Strong experience with Azure DevOps, Bitbucket, Terraform and/or Bicep, Docker, Kubernetes, and CI/CD pipeline implementation.
Experience with Azure Kubernetes Service, preferably, and monitoring tools such as Azure Monitor, Application Insights, Grafana, or Prometheus.
Strong scripting skills in PowerShell, Python, or Bash.
Experience with Azure AI Foundry, Azure OpenAI Service, MLOps, model deployment and monitoring, vector databases, retrieval systems, LLM application operations, or AI governance is relevant.
Experience with Microsoft Entra ID, Azure Key Vault, security scanning, vulnerability management, and regulated or enterprise environments is valuable.
A master's degree is an added advantage.

Benefits

Hybrid work opportunities and flexibility to support diverse needs and lifestyles.
Opportunity to build enterprise-scale AI solutions and work with generative AI technologies.
Collaborative, inclusive, innovation-driven engineering culture with career growth in a global technology organization.
Opportunity to help shape AI-powered enterprise software and work in a global, diverse environment.

IFS

IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consult...

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