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{"uid":"6013034008399464272","crypted":"Q3ArM2Q3RCtWVzNFVjJtUk1vRDlLcUVXMEE9PQ==","location":"Stanford, CA","address":"138 Graham Ranch Apt. 598","zip":"45069-3021","country":"US","title":"AI-Ops Engineer","slug":"ai-ops-engineer","sumary":" ...Title: Hybrid AI-Ops Engineer \r\n Pay Rate: $60.00\/hr DOE \r\n Employment Type: Contract \r\n Est. End Date: January 2027\r\n Schedule: Full-time, Monday Friday, 9:00 AM 6:00 PM \r\n Location: Stanford, CA 94305 (Hybrid 2 days onsite)\r\n Job Code: JPC-1464463\r\n Tekberry... ","company":"TEKBERRY","description":"<p><b> Title: <\/b> Hybrid AI-Ops Engineer <br> <b> Pay Rate: <\/b> $60.00\/hr DOE <br> <b> Employment Type: <\/b> Contract <br> <b> Est. End Date: <\/b> January 2027<br> <b> Schedule: <\/b> Full-time, Monday Friday, 9:00 AM 6:00 PM <br> <b> Location: <\/b> Stanford, CA 94305 (Hybrid 2 days onsite)<br> <b> Job Code: <\/b> JPC-1464463<\/p> <p> Tekberry is looking for a highly qualified and motivated <b> AI-Ops Engineer <\/b> to work hybrid with our client, a top-tier university engineering program. As a W2 employee you will have access to health benefits. <\/p> <b> Responsibilities: <\/b> <p><b> AI-Driven Operations & Automation <\/b><br> Implement AIOps solutions using ML to automate performance monitoring, workload scheduling, and infrastructure operations. <br> Build anomaly detection systems to identify system issues before they impact users. <br> Develop automated root cause analysis using ML-driven event correlation. <br> Create predictive maintenance workflows based on historic patterns and telemetry data. <br> Design and execute automated remediation scripts for incident response. <\/p> <p><b> Observability & Intelligent Monitoring <\/b><br> Build observability platforms that aggregate logs, metrics, and events into unified dashboards. <br> Implement intelligent alerting using NLP\/ML to reduce noise and prioritize actionable insights. <br> Deploy APM tools integrated with AI-powered analytics. <br> Ensure full visibility across cloud infrastructure, applications, and ML workloads. <\/p> <p><b> Cloud Infrastructure & DevOps <\/b><br> Design and maintain scalable AWS infrastructure using CloudFormation, Terraform, or CDK. <br> Build and manage containerized workloads (Docker, ECS, Fargate, EKS). <br> Create CI\/CD pipelines incorporating AI-driven deployment and quality checks. <br> Automate cloud operations to optimize cost, scalability, and reliability. <br> Ensure all cloud architecture meets Stanford s compliance requirements (FERPA, GDPR). <\/p> <p><b> Collaboration & Continuous Improvement <\/b><br> Partner with engineers and cross-functional teams to deliver AIOps capabilities. <br> Use Git-based workflows and participate in code reviews. <br> Document runbooks, automation workflows, and operational procedures. <br> Continuously evaluate emerging AIOps tools and methodologies. <br> Contribute to building a culture focused on predictive and automated operations. <\/p> <b> Qualifications: <\/b> <p><b> Required <\/b><br> Bachelor s degree in Computer Science, DevOps, Cloud Engineering, or related field (Master s preferred). <br> 3+ years in DevOps, SRE, or Cloud Engineering roles. <br> 2+ years hands-on experience with AWS (EC2, Lambda, ECS\/Fargate, S3, IAM, VPC). <br> Strong Python programming skills. <br> Experience implementing monitoring and observability solutions at scale. <br> Familiarity with ML\/AI concepts applied to automation. <\/p> <p><b> Technical Skills <\/b><br> Languages: Python required; Bash, Go, or TypeScript preferred. <br> Monitoring Tools: CloudWatch, X-Ray, Prometheus, Grafana, Datadog, Splunk. <br> Infrastructure as Code: CloudFormation, Terraform, CDK. <br> Containers & Orchestration: Docker, ECS\/Fargate, Kubernetes (EKS). <br> AWS Services: Lambda, EC2, S3, API Gateway, EventBridge, CloudWatch, IAM, CodePipeline, SageMaker. <br> CI\/CD: GitHub Actions, CodePipeline, Jenkins, GitLab CI. <br> Data & Analytics: Log aggregation, metrics analysis, event correlation. <\/p> <p><b> Desired Attributes <\/b><br> Strong understanding of AIOps principles and automation-first operations. <br> Passion for eliminating manual work through AI-driven solutions. <br> Excellent debugging and root cause analysis skills. <br> Adaptable, collaborative, and eager to learn with strong communication skills. <br> Thrives in fast-paced environments with evolving technology stacks. <\/p> <p> We need hard-working, reliable employees. <b> Tekberry offers a $100 payment for referrals!<\/b> <\/p> <p> Tekberry Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other protected categories under all applicable laws. <br> Tekberry, Inc is a Certified Minority Business Enterprise (MBE) and Certified Disadvantaged Business Enterprise (DBE). <\/p> <p> By submitting your resume, you are explicitly consenting to receive communications from our organization via text message. Rest assured all our texts are sent by real people and we look forward to a conversation with you about this job! <\/p> <p> Check out all our jobs at <\/p> <p><b>#INDHP <\/b><\/p>","tags":"Full time, Contract work, Monday to Friday, ","url_out":"https:\/\/jooble.org\/desc\/-6013034008399464272?ckey=ai-engineer&rgn=-1&pos=13&groupId=6400&elckey=-7016705225977689845&pageType=20&p=1&sid=-8325063529218264540&jobAge=23&relb=100&brelb=100&bscr=17690.034010553172&scr=17690.034010553172&searchTestGroup=1_1384_3&iid=-2365581493437974375","salary":"$60 per hour","currency":"USD","pubDate":1766361600,"expDate":1771545600}Anon7 - 2022
AnonSec Team