SRE AWS DevOps with Arize

ClifyX, INC

  • Malvern, PA
  • 30+ days ago

    Highlights

    Experienced in implementing CI/CD pipelines, driving SRE best practices, and ensuring platform reliability through proactive monitoring, incident management, and performance optimization using CloudWatch, Prometheus, Grafana, and Arize. SRE Lead with 8+ years of experience in building and managing scalable, secure, and highly available AWS cloud platforms leveraging DevOps, Kubernetes, and Infrastructure-as-Code practices.

    Numbers & Facts

    LocationMalvern, PA

    Description

    Must Have Technical/Functional Skills

    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.

    Roles & Responsibilities

    SRE Lead with 8+ years of experience in building and managing scalable, secure, and highly available AWS cloud platforms leveraging DevOps, Kubernetes, and Infrastructure-as-Code practices.

    • Experienced in implementing CI/CD pipelines, driving SRE best practices, and ensuring platform reliability through proactive monitoring, incident management, and performance optimization using CloudWatch, Prometheus, Grafana, and Arize.
    • Strong collaborator with engineering, data, and ML teams, enabling MLOps, AI model observability, drift detection, and reliable deployment of production-grade AI/GenAI solutions.

    Generic Managerial Skills, If any

    • Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
    • Effective communication with business and technical stakeholders.

    Similar Jobs