SRE AWS Devops
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Job description
For an SRE / AWS DevOps Engineer with Arize Observability, the candidate should have knowledge on AWS Cloud, DevOps, Reliability Engineering, Monitoring, MLOps, and AI Observability. AWS Cloud Services EC2, EKS, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC. Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Ansible. CI/CD Automation Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline. Containerization & Orchestration Docker, Kubernetes (EKS), Helm. Site Reliability Engineering (SRE) SLI/SLO/SLA management, incident response, root cause analysis (RCA), reliability engineering. Monitoring & Observability Arize AI, Prometheus, Grafana, Datadog, ELK Stack, OpenTelemetry, CloudWatch. MLOps & AI Observability Arize platform, model monitoring, drift detection, model performance tracking, data quality monitoring, LLM observability. Programming & Scripting Python, Bash, PowerShell, SQL. Security & DevSecOps IAM, Secrets Manager, AWS Security Hub, vulnerability scanning, policy enforcement. Collaboration & Agile Delivery Scrum, Jira, stakeholder communication, cross-functional incident management, technical documentation.
Requirements
Role Name - AWS Data Engineer (6-8 Years Expereince) ROLE_DESCRIPTION - Design and develop scalable, cloud-native data solutions using AWS ECS, Glue, Lambda, S3, DynamoDB, and …
- 1 day ago
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