SRE AIops Engineer (AWS)

Irvine, CA, US • Posted 2 days ago • Updated 2 days ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
$55 - $65/hr
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Job Details

Skills

  • AWS
  • Kubernetes
  • AIOps

Summary

Role Title: Senior SRE AIOps Engineer (AWS)

Experience Level: 5–8 Years

Location: USA

Primary Environment: Amazon Web Services (AWS)

 

Executive Summary

  • Responsible for reliability, performance, and scalability of AWS-based microservices environments.
  • Drive modernization of SRE operations through AIOps capabilities using Machine Learning and automation.
  • Implement intelligent monitoring, anomaly detection, alert correlation, and self-healing infrastructure solutions.

Core Responsibilities

  • Define and manage SLOs, SLIs, and Error Budgets for mission-critical AWS services.
  • Manage, optimize, and scale Amazon EKS clusters ensuring high availability and cost efficiency.
  • Implement and tune AIOps solutions using AWS DevOps Guru and Amazon Lookout for Metrics.
  • Identify performance bottlenecks proactively before impacting end users.
  • Lead incident response activities and perform root-cause analysis (RCA).
  • Develop automated remediation workflows using AWS Lambda and AWS Step Functions.
  • Reduce operational toil by building automation tools and utilities in Python or Go.

Must-Have Skills

  • Strong expertise in AWS services including:
    • Amazon EKS
    • AWS Lambda
    • Amazon S3
    • VPC Networking
  • Hands-on experience with observability and monitoring tools:
    • Amazon CloudWatch (Logs Insights, ServiceLens)
    • Managed Grafana
    • Prometheus
  • Expert-level proficiency in Infrastructure as Code:
    • Terraform or AWS CDK
  • Experience with AI-driven monitoring and AIOps platforms:
    • AWS DevOps Guru
    • Datadog Watchdog
    • Dynatrace Davis
  • Strong Python programming skills with AWS SDKs (Boto3).
  • Advanced knowledge of:
    • Docker
    • Kubernetes manifests
    • Helm charts

Good-to-Have Skills

  • Exposure to Generative AI services:
    • Amazon Bedrock
    • Amazon Q
  • Basic understanding of ML models for:
    • Predictive scaling
    • Forecasting
  • Security monitoring experience with:
    • AWS GuardDuty
    • AWS Security Hub
  • Relevant certifications preferred:
    • AWS Certified DevOps Engineer – Professional
    • Certified Kubernetes Administrator (CKA)

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124090
  • Position Id: 8989767
  • Posted 2 days ago

Company Info

About Fervorly

Based out of the San Francisco Bay Area, Fervorly sources unique and highly qualified candidates to meet company goals. We have successfully placed hundreds of talented individuals into several projects and full-time jobs at many mid size and large companies.

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