Overview : Hiring a seasoned Dev Ops / Platform Engineer to drive automation, platform reliability, and robustsoftware delivery pipelines using both conventional practices and advanced AI / ML techniques inglobal, regulated enterprises.Key Responsibilities : Design, deploy, and manage CI / CD pipelines and infrastructure automation, leveraging AI forefficiency.Implement infrastructure as code and environment provisioning, including AI-powered script andconfiguration generation.Monitor and optimize system reliability, availability, and security—using AI / ML for predictivealerts and intelligent scaling.Establish Dev Sec Ops best practices, compliance controls, and MLOps (CI / CD for ML workflows).Troubleshoot complex infrastructure, deployment, and ML model serving issues.Core Technical & AI / ML Skills : Deep experience with Ia C tools (Terraform, Ansible, Cloud Formation), scripting (Python, Bash),and AI-enhanced automation.Build and maintain CI / CD (Jenkins, Git Lab CI, Git Hub Actions, Argo CD).Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker).Logging, monitoring, and observability (Prometheus, Grafana, ELK / EFK), including AI-driven loganalysis and incident prediction.Experience supporting MLOps : deploying ML workflows, ensuring model traceability andcompliance.Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies(OPA, Sentinel).Soft Skills : Influential in driving Dev Ops culture change.Strong communicator across development, security, and business teams.Mentorship and process rigor, open-minded to AI-driven productivity improvements.High accountability, initiative, and a proactive approach to emerging technologies.
Engineer • Junagadh, Gujarat, India