Live opening · Posted 2 days ago
The key details from the original listing.
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Description supplied by the original job listing.
Responsibilities:
Advanced Kubernetes: Implement Karpenter, Istio service mesh, mTLS, and canary deployments.
Monitoring and Reliability: Implement observability using CloudWatch, Prometheus, Grafana, Loki, and OpenSearch.
Streaming Systems: Work with Kafka, MSK, and Schema Registry for scalable data pipelines.
Security: Implement container security, IAM best practices, TLS/SSL, and shift-left security.
Incident Management: Handle incidents, perform RCA, and improve system reliability.
Cost Optimisation: Optimise infrastructure cost and performance through scaling and resource management.
AI Integration: Work with AWS Bedrock, including inference profiles and ARNs.
Requirements:
Experience: 5+ years in DevOps and Infrastructure Engineering.
AWS Expertise: Strong hands-on with VPC, IAM, EC2 S3 RDS, ECR, Route 53 and Secrets Manager.
Kubernetes: Deep experience with EKS, Helm, HPA, RBAC, IRSA, Karpenter, and Istio.
CI/CD: Git, GitHub Actions, Jenkins, ArgoCD.
IaC: Terraform (preferred), Pulumi, AWS CDK.
Observability: CloudWatch, Prometheus, Grafana, Loki, OpenSearch.
Streaming: Kafka / MSK and Schema Registry.
Networking: Linux networking, DNS, TLS/SSL, ALB/NLB.
Scripting: Python and Bash. Security: IAM, RBAC, container security.
Operations: Incident management and reliability engineering.
Bonus Skills:
AWS, Bedrock and AI/ML infrastructure experience.
Experience with service mesh (Istio) and mTLS.
ML Ops tools (Kubeflow, MLflow).
Cost optimisation at scale.
Odoo deployment experience.
Experience
5-9 yrs
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