Sr AWS Devops and AI Engineer ( UK Shift )
Core
Design, implement, and maintain scalable CI/CD pipelines and cloud infrastructure for distributed systems and AI-driven platforms.
Role type
Senior DevOps Engineer (AI/ML infrastructure)
Builds
Scalable CI/CD pipelines, containerized microservices, GPU orchestration environments, and AI/ML model-serving infrastructure
Domain
Cloud Infrastructure, DevOps, AI/ML Engineering
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline architecture, AWS/GCP cloud infrastructure, Docker & Kubernetes, Infrastructure as Code (Terraform, Ansible), Python/Bash/Go scripting, observability (Prometheus, Grafana, ELK), AI/ML pipeline support (MLflow, Kubeflow, SageMaker)
Preferred skills
GPU workload management, serverless architectures, GitOps tools, AIOps platforms
Technologies
GitHub Actions, Terraform, Ansible, CloudFormation, Docker, Kubernetes, EKS, GKE, Prometheus, Grafana, CloudWatch, ELK, MLflow, Kubeflow, SageMaker, Vertex AI, Lambda, Cloud Run, Argo CD, Flux, Dynatrace, New Relic
Responsibilities
Design and maintain CI/CD pipelines for Prerel, QA, and Production; Automate provisioning and configuration using IaC tools; Architect and maintain cloud infrastructure (AWS/GCP); Lead modernization initiatives for containerization and microservices; Implement high availability setups and DR strategies; Support AI/ML model training and deployment pipelines; Manage GPU orchestration and scalable model-serving environments; Implement centralized monitoring, logging, and alerting systems; Ensure cloud security best practices and compliance with HIPAA, SOC2, ISO 27001
Seniority
Senior, hands-on IC
