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SRE AWS DevOps with Arize

  • SRE AWS DevOps with Arize job type Posted on: Oct 28, 2026
  • SRE AWS DevOps with Arize experience level ClifyX, INC
  • SRE AWS DevOps with Arize employment type Malvern, Alabama
  • SRE AWS DevOps with Arize employment type Onsite
  • SRE AWS DevOps with Arize salary Full-time

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Job Title :

SRE AWS DevOps with Arize

Job Type :

Full-Time

Job Location :

Malvern Alabama United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Job 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.

Jobcon Logo Position Details

Posted:

Oct 28, 2026

Reference Number:

571a36ee

Employment:

Full-time

City:

Malvern

Job Origin:

ziprecruiter

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Job Description

Job 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.

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