1 day ago
Remote, APACMid Level
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.
Tech Stack
Categories
About 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 consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.