{"schemaVersion":"jobsearcher.job.v1","id":"83eca07683379d7544e82f26","url":"https://jobsearcher.com/jobs/83eca07683379d7544e82f26","canonicalUrl":"https://jobsearcher.com/jobs/83eca07683379d7544e82f26","title":"Senior DevOps Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53498Job Title:Senior DevOps EngineerLocation:Austin, TXDuration:10 Months + ExtensionDomain Exposure:Real EstateWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSenior Business Analyst - Irvine, CASenior SailPoint IAM Architect - Rosemead, CASenior Java Backend Developer - Phoenix,, AZSenior Machine Learning Engineer - San Jose, CASenior Data Engineer - New York, NYJob Description:We are looking for a hands-on DevOps Technical Lead / DevOps Engineer with strong experience in AWS, Kubernetes, CircleCI, Argo CD, New Relic, Python, and Bash.The ideal candidate should have strong experience building and supporting cloud infrastructure, CI/CD pipelines, Kubernetes deployments, GitOps, observability, automation, and production operations. Candidates should be comfortable independently troubleshooting production issues and working closely with development, QA, security, and platform teams.Must Have Skills:AWS: EC2, S3, IAM, VPC, Load Balancing, Auto Scaling, CloudWatchKubernetesDockerHelmCircleCIArgo CD / GitOpsNew RelicPython and/or BashCI/CD and deployment automationCloud networking and securityProduction troubleshooting and incident managementKey Responsibilities:Design, build, and maintain CI/CD pipelines using CircleCI.Manage Kubernetes deployments using Argo CD and GitOps practices.Deploy and operate production workloads on AWS and Kubernetes.Automate infrastructure, deployment, monitoring, and operational processes.Implement observability with New Relic, including dashboards, alerts, monitoring, and performance analysis.Troubleshoot application, infrastructure, Kubernetes, networking, and deployment issues.Improve system reliability, scalability, availability, security, and deployment efficiency.Develop automation scripts using Python and/or Bash.Participate in incident management, root-cause analysis, and continuous improvement.Work with Kubernetes components including Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, and RBAC.Apply DevSecOps practices and security controls.Use AI-assisted development/coding tools for scripting, troubleshooting, testing, documentation, and code reviews, with appropriate testing, security validation, and human review.Preferred Skills:TerraformAWS certificationCKA / CKAD certificationExperience with AI coding assistants and developer productivity toolsExperience in the US Real Estate domain, including property platforms, MLS, mortgage, title, valuation, or related systemsApply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-11-02T07:16:55.806Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior DevOps Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53498Job Title:Senior DevOps EngineerLocation:Austin, TXDuration:10 Months + ExtensionDomain Exposure:Real EstateWork Authorization:US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsSenior Business Analyst - Irvine, CASenior SailPoint IAM Architect - Rosemead, CASenior Java Backend Developer - Phoenix,, AZSenior Machine Learning Engineer - San Jose, CASenior Data Engineer - New York, NYJob Description:We are looking for a hands-on DevOps Technical Lead / DevOps Engineer with strong experience in AWS, Kubernetes, CircleCI, Argo CD, New Relic, Python, and Bash.The ideal candidate should have strong experience building and supporting cloud infrastructure, CI/CD pipelines, Kubernetes deployments, GitOps, observability, automation, and production operations. Candidates should be comfortable independently troubleshooting production issues and working closely with development, QA, security, and platform teams.Must Have Skills:AWS: EC2, S3, IAM, VPC, Load Balancing, Auto Scaling, CloudWatchKubernetesDockerHelmCircleCIArgo CD / GitOpsNew RelicPython and/or BashCI/CD and deployment automationCloud networking and securityProduction troubleshooting and incident managementKey Responsibilities:Design, build, and maintain CI/CD pipelines using CircleCI.Manage Kubernetes deployments using Argo CD and GitOps practices.Deploy and operate production workloads on AWS and Kubernetes.Automate infrastructure, deployment, monitoring, and operational processes.Implement observability with New Relic, including dashboards, alerts, monitoring, and performance analysis.Troubleshoot application, infrastructure, Kubernetes, networking, and deployment issues.Improve system reliability, scalability, availability, security, and deployment efficiency.Develop automation scripts using Python and/or Bash.Participate in incident management, root-cause analysis, and continuous improvement.Work with Kubernetes components including Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, and RBAC.Apply DevSecOps practices and security controls.Use AI-assisted development/coding tools for scripting, troubleshooting, testing, documentation, and code reviews, with appropriate testing, security validation, and human review.Preferred Skills:TerraformAWS certificationCKA / CKAD certificationExperience with AI coding assistants and developer productivity toolsExperience in the US Real Estate domain, including property platforms, MLS, mortgage, title, valuation, or related systemsApply NowEqual Opportunity EmployerWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.","datePosted":"2026-11-02T07:16:55.806Z","dateModified":"2026-11-02T07:16:55.806Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"83eca07683379d7544e82f26"},"url":"https://jobsearcher.com/jobs/83eca07683379d7544e82f26"}}