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About
Job Title: AI DevOps Engineer - W2 only- We can provide sponsorship as well. Duration: Long Term Location: Westlake TX - Hybrid - 2 Weeks in a month onsite Must Have
DevOps background, python, need help with automation They need someone with vision for future state.
Don't need a task taker. The Expertise and Skills You Bring
Bachelors Degree or equivalent in a technology related field (e.g. Computer Science, Engineering, etc.) required. 6+ years of demonstrable experience in software engineering Solid experience working with public cloud and cloud infrastructure Cloud platform experience with certifications preferred (AWS or Azure) Solid experience with AI tools (Agentic Workflows Automation, AI Agents, etc.) Experience provisioning compute resources or managing IAAM roles and subscriptions in the cloud Experience building VPCs, private networks and network routes and rules in the public cloud. Demonstrated ability to utilize modern monitoring tools (DataDog, Prometheus, Splunk, ) Experience managing systems using infrastructure as code tools (CloudFormation, Terraform, ARM etc..) Experience building CI-CD pipelines for DevSecOps functions Hands on Experience on Deployments tools like Udeploy, Kompas, Mario Knowledge of WS Cloud DevOps services such as Jenkins, IAM, VPC, ECS, Lambda, RDS, CloudFormation Knowledge of Docker containers and PaaS (such as Cloud Foundry, Kubernetes, OpenShift, Rancher) highly desired. Hands-on Kubernetes skills and knowledge Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, ). Expertise in Production support, including incident management, root cause analysis, real-time monitoring, and high availability and reliability of critical systems in a fast-paced environment. Create and maintain docker files, manifest files, and HELM Charts for different environmentsorchestrators Experience engineering/sizing, installing, configuring, and maintaining mission critical applications. Azure Active Directory hands on experience. Strong analytical, technical, and problem-solving skills to troubleshoot issues in the cloud. Experienced in Instrumentation with systems skills on building and operating, monitoring, logging, alerting services of distributed systems at scale Your ability to learn and experiment with new technologies and patterns
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Languages
- English
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