"Alerted.org

AI-Ops Engineer 1464463 * Hourly pay: $60/hr * Worksite: Leading university (Stanford, CA 94305 - Hybrid, Must be onsite 2-3 days on campus) * W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL * 40 hours/week, 12 Month Assignment, Possible extension or conversion A leading university seeks an AI-Ops Engineer. The successful candidate will be responsible for evolving traditional DevOps into AI- Ops at the Engineering Center. This role leverages AI and machine learning to automate and enhance IT operations. The company offers a family-oriented culture and environment! AI-Ops Engineer Responsibilities: * AI-Driven Operations & Automation * Implement AIOps solutions that use ML algorithms to automate performance monitoring, workload scheduling, and infrastructure management. * Build anomaly detection systems that identify infrastructure issues before they impact users. * Create predictive maintenance workflows that analyze historical patterns to proactively mitigate issues. * Observability & Intelligent Monitoring: * Architect comprehensive observability platforms that aggregate data from disparate sources into unified dashboards. * Implement intelligent alerting systems using NLP and ML to reduce alert fatigue and surface actionable insights. * Deploy application performance monitoring (APM) solutions integrated with AI-driven analytics. Ensure end-to-end visibility across cloud infrastructure, applications, and AI/ML workloads. * Cloud Infrastructure & DevOps: * Design, build, and maintain scalable, secure AWS infrastructure using Infrastructure as Code (CloudFormation, Terraform, or CDK). * Implement and manage containerized environments using Docker, AWS ECS, Fargate, and Kubernetes (EKS). * Build CI/CD pipelines for continuous delivery, integrating AI-powered code quality and deployment optimization. * Collaboration & Continuous Improvement: * Partner with cross-functional teams to implement domain-agnostic AIOps solutions across the organization. * Use Git-based version control and code review best practices as part of a collaborative, agile workflow. * Document operational procedures, runbooks, and AIOps workflows for team knowledge sharing. * Occasional on-call responsibilities for critical infrastructure. AI-Ops Engineer Qualifications: * 3+ years of experience in DevOps, SRE, or Cloud Engineering roles. * 2+ years of hands-on experience with AWS infrastructure (EC2, ECS, Lambda, S3, IAM, VPC). * Experience implementing monitoring, observability, and alerting solutions at scale. * Bachelor's degree in Computer Science, DevOps, Cloud Engineering, or a related field (Master's preferred). * AWS certification preferred (Solutions Architect, SysOps Administrator, or DevOps Engineer); Professional-level certification a plus. * Familiarity with ML/AI concepts and their application to operational automation. * Languages: Python (required); Bash, Go, or TypeScript preferred. * AIOps & Monitoring: CloudWatch, X-Ray, Prometheus, Grafana, Datadog, or Splunk with ML capabilities. * Infrastructure as Code: AWS CloudFormation, Terraform, or AWS CDK. * Containers & Orchestration: Docker, AWS ECS/Fargate, Kubernetes (EKS). * AWS Services: Lambda, EC2, S3, API Gateway, EventBridge, CloudWatch, IAM, VPC, CodePipeline, SageMaker. * CI/CD Tools: GitHub Actions, AWS CodePipeline, Jenkins, or GitLab CI. * Data & Analytics: Experience with log aggregation, metrics analysis, and event correlation platforms. * Strong understanding of AIOps principles-using AI to enhance, not just support, IT operations is preferred. * Passion for automation and eliminating manual, repetitive operational tasks is preferred. * Excellent problem-solving, debugging, and root cause analysis skills are preferred. * Demonstrated ability to learn rapidly, adapt to new technologies, and continuously improve is preferred. * Strong communication skills withthe ability to collaborate across technical and non-technical teams are preferred. * Commitment to reliability, security, and operational excellence is preferred. * Thrives in a fast-paced, evolving environment, proactively seeking opportunities to embed intelligence into systems and processes is preferred. Shift: * Monday to Friday 9 am - 6 pm. (H)