The Planet Grouphttps://cdn.haleymarketing.com/templates/63515/logos/theplanetgroup-200x200.pnghttp://www.theplanetgroup.comhttp://www.theplanetgroup.comtrue
Posted: 01/08/20262026-01-082026-02-14Employment Type:ContractJob Category:TechnologyJob Number: 642612Is job remote?: No
Job Description
Job Title: AI-Ops Engineer Location: Stanford, CA Duration: 12 months Pay Rate: $55 to $60/hour (DOE)
Position Overview:
The AI-Ops Engineer is a key technical contributor responsible for evolving traditional DevOps into AI- Ops at CGOE. This role leverages AI and machine learning to automate and enhance IT operations— including performance monitoring, anomaly detection, root cause analysis, and automated remediation. Working at the intersection of cloud infrastructure, AI-driven automation, and operational excellence, the engineer embeds intelligence into infrastructure, deployment, and monitoring to ensure high availability, predictive issue resolution, and operational efficiency across CGOE's global online programs.
Key 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.
Develop automated root cause analysis capabilities using ML to correlate events and filter noise from critical alerts.
Create predictive maintenance workflows that analyze historical patterns to proactively mitigate issues.
Design and implement automated remediation scripts that respond to incidents without human intervention.
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.
Build real-time analytics dashboards for coordinated diagnosis across teams.
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.
Manage cloud automation and optimization to improve cost-efficiency and resource utilization.
Ensure compliance with regulatory standards (FERPA, GDPR) for secure data handling and governance.
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.
Continuously evaluate and adopt emerging AIOps tools, AWS services, and AI-driven automation technologies.
Contribute to building an AI-first operational culture that prioritizes automation and predictive capabilities.
Required Qualifications:
Education & Certifications
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.
Experience
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.
Familiarity with ML/AI concepts and their application to operational automation.
Technical Skills
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.
CI/CD Tools: GitHub Actions, AWS CodePipeline, Jenkins, or GitLab CI.
Data & Analytics: Experience with log aggregation, metrics analysis, and event correlation platforms.
Preferred Qualifications:
Strong understanding of AIOps principles—using AI to enhance, not just support, IT operations. Passion for automation and eliminating manual, repetitive operational tasks.
Excellent problem-solving, debugging, and root cause analysis skills.
Demonstrated ability to learn rapidly, adapt to new technologies, and continuously improve. Strong communication skills with ability to collaborate across technical and non-technical teams. Commitment to reliability, security, and operational excellence.
Thrives in a fast-paced, evolving environment, proactively seeking opportunities to embed intelligence into systems and processes.
Success Metrics:
Reduced mean time to detection (MTTD) and mean time to resolution (MTTR) through AI- driven automation.
High system uptime and availability (99.9%+) for critical infrastructure.
Decreased alert noise and improved signal-to-noise ratio in monitoring systems.
Measurable cost savings through predictive optimization and automated remediation. Consistent adoption of AIOps best practices across the organization.
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The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.
Ready to kickstart your career in the vibrant and innovative hub of Stanford, California? Known for its proximity to Silicon Valley and top-tier educational institutions, this area offers unparalleled growth opportunities and a dynamic job market. Imagine working amidst the iconic Stanford University campus, exploring the arts at the Cantor Arts Center, catching a play at the historic Stanford Theatre, or enjoying the stunning views at the nearby Palo Alto Baylands Nature Preserve. With a bustling culinary scene, diverse cultural offerings, and the chance to be a part of the cutting-edge tech scene, Stanford is the ideal place to take your career to the next level. Explore our job listings today and embark on an exciting new chapter in the heart of the Bay Area!
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