DevOps Engineer Senior

📋 Description • Lead the design, build, and continuous improvement of Nexos’ cloud-native infrastructure, engineered specifically for AI-heavy workloads that power our distributed, product-grade machine-learning platform. • Own end-to-end Kubernetes lifecycle management: provision, configure, upgrade, and harden clusters across multiple environments (dev, staging, prod) while guaranteeing >99.9 % availability and sub-second scaling responsiveness. • Architect and maintain bullet-proof CI/CD pipelines using GitLab CI and ArgoCD, enabling multiple daily releases of micro-services, models, and data pipelines with zero-downtime blue/green and canary strategies. • Automate every layer of the stack with Infrastructure-as-Code: author modular, version-controlled Terraform and Ansible playbooks that provision VPCs, IAM roles, storage, GPU node pools, and security groups in minutes, not hours. • Instrument and operate a best-in-class observability stack—Prometheus, Zabbix, Grafana, and the Elastic Stack—to surface real-time metrics, traces, and logs; define SLOs/SLIs and own the incident-response playbook to keep MTTR <15 min. • Collaborate daily with AI researchers, MLOps engineers, and product squads to translate experimental prototypes into production-ready services, ensuring GPU scheduling, autoscaling, and cost optimisation are baked in from day one. • Drive cloud-cost governance: implement resource tagging, right-sizing policies, and spot-instance strategies that cut infrastructure spend without compromising performance or reliability. • Champion security by design—enforce network segmentation, secrets management, image scanning, and policy-as-code (OPA/Gatekeeper) so that compliance audits become a non-event. • Document tribal knowledge into living runbooks, architectural decision records (ADRs), and onboarding guides that empower every engineer to ship safely and autonomously. • Contribute to strategic PoCs for next-generation AI infrastructure (think serverless GPUs, confidential computing, or edge federated learning) and turn the most promising ideas into production reality. • Mentor junior DevOps engineers through pair-programming, design reviews, and brown-bag sessions, cultivating a culture of continuous learning and relentless automation. • Participate in an agile, remote-first environment with daily stand-ups, fortnightly retros, and quarterly OKR planning—your voice directly shapes product and technical roadmaps.