21 days ago
Colombo, Sri LankaMid Level
Responsibilities
- Design, build, and maintain cloud-native infrastructure supporting AI workloads across development, test, UAT, and production environments.
- Implement infrastructure as code using Terraform and Bicep while optimizing 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, and access controls while performing vulnerability remediation and platform hardening.
- Establish monitoring, alerting, logging, observability, SLAs, SLOs, and operational metrics for AI platforms.
- Troubleshoot production incidents, perform root-cause analysis, and improve platform stability, performance, and recovery times.
- Partner with AI Engineers and Solution Architects, support production releases, contribute reusable platform standards and automation frameworks, and mentor development teams.
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.
- Master's degree is an added advantage.
- Hands-on experience with Microsoft Azure and strong experience with Azure DevOps, Bitbucket, Terraform and/or Bicep, Docker, and Kubernetes, preferably AKS.
- Experience implementing CI/CD pipelines and monitoring with 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 and retrieval systems, LLM application deployment and operations, or AI governance and operational monitoring is relevant.
- Experience with Microsoft Entra ID, Azure Key Vault, security scanning, vulnerability management, and regulated or enterprise environments is relevant.
Benefits
- Hybrid and flexible work opportunities.
- 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 contribute to a global, diverse workplace.
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.