DevOps Engineer – AI

🔥 1 minute ago

🇱🇰 Sri Lanka – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IFS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏗️ Construction

🏭 Manufacturing

📦 Logistics

💰 Secondary Market on 2022-03

Construction • Manufacturing • Logistics

IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.

📋 Description

• Design, build, and maintain cloud-native infrastructure supporting AI workloads • Manage AI platform environments across development, test, UAT, and production • Implement Infrastructure as Code using Terraform and Bicep • Optimize infrastructure performance, costs, resilience, and availability • Build and maintain CI/CD pipelines for AI and machine learning solutions • Automate model deployment, validation, testing, and rollback processes • Support model lifecycle management, versioning, monitoring, and governance • Enable automated retraining and deployment workflows where required • Implement security best practices across AI environments • Manage identities, secrets, certificates, and access controls • Ensure compliance with organizational security and governance standards • Conduct vulnerability remediation and platform hardening activities • Establish monitoring, alerting, logging, and observability frameworks • Troubleshoot production incidents and perform root-cause analysis • Define and monitor platform SLAs, SLOs, and operational metrics • Drive continuous improvement of platform stability and performance • Partner with AI Engineers and Solution Architects to operationalize AI solutions • Support production releases and deployment readiness reviews • Contribute to platform standards, reusable templates, and automation frameworks • Mentor development teams on DevOps and AI operational best practices

🎯 Requirements

• 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 related technical field • Masters will be an added advantage • Hands-on experience with Microsoft Azure • Strong experience with Azure DevOps • Strong experience with Bitbucket • Strong experience with Terraform and/or Bicep • Strong experience with Docker • Strong experience with Kubernetes (AKS preferred) • CI/CD pipeline implementation experience • Experience with monitoring tools such as Azure Monitor, Application Insights, Grafana, or Prometheus • Strong scripting skills in PowerShell, Python, or Bash • Experience with one or more of 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 • Experience with Microsoft Entra ID for identity and access management • Experience with Azure Key Vault for secrets management • Experience with security scanning and vulnerability management • Experience working in regulated or enterprise environments

🏖️ Benefits

• Opportunity to build enterprise-scale AI solutions • Exposure to the latest Generative AI technologies • Collaborative and innovation-driven engineering culture • Career growth within a global technology organization • The chance to help shape the future of AI-powered enterprise software • Flexible and hybrid work opportunities • Inclusive workplace experiences • Sustainability-focused global organization • Diverse and collaborative work environment