{"schemaVersion":"jobsearcher.job.v1","id":"25e1c99a5c3d81fd57c1eaa9","url":"https://jobsearcher.com/jobs/25e1c99a5c3d81fd57c1eaa9","canonicalUrl":"https://jobsearcher.com/jobs/25e1c99a5c3d81fd57c1eaa9","title":"Site Reliability Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53393Job Title:Site Reliability EngineerLocation:Austin, TXDuration:12 Months + ExtensionDomain Exposure:RetailWork 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 JobsSite Reliability Engineer - Pittsburgh, PASite Reliability Engineer - Tampa, FLSite Reliability Engineer - dallas, TXSite Reliability Engineering (SRE) Architect - Atlanta, GAETL Site Reliability Engineer - Charlotte, NCMandatory SkillsWe are looking for a skilled Site Reliability Engineer (SRE) with hands-on experience in AWS, GAIA, and GKP infrastructure. The candidate will be responsible for infrastructure management, deployment automation, monitoring, telemetry, reliability engineering, and production operations to ensure the availability, scalability, performance, and resilience of critical services.Key ResponsibilitiesInfrastructure Management: Design, deploy, manage, and maintain AWS and GAIA/GKP infrastructure to ensure high availability, scalability, and reliability.Deployment and Release Management: Implement and maintain automated deployment pipelines, support application releases, and manage deployment rollbacks across environments.Monitoring and Observability: Configure and maintain monitoring, alerting, dashboards, logging, and telemetry solutions to proactively identify and resolve issues.Site Reliability Engineering: Define and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to improve service reliability.Incident Management: Respond to production incidents, troubleshoot infrastructure and application issues, perform root cause analysis (RCA), and implement preventive measures.Automation and Tooling: Develop scripts and automation to reduce manual operational tasks and improve deployment efficiency.Performance and Capacity Management: Monitor resource utilization, analyze performance bottlenecks, and optimize infrastructure capacity and costs.Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration using tools such as Terraform, CloudFormation, or equivalent technologies.Security and Compliance: Implement infrastructure security best practices, access controls, secrets management, and compliance requirements.Collaboration: Work closely with development, DevOps, platform engineering, and operations teams to improve system reliability and operational efficiency.Documentation: Maintain operational runbooks, deployment procedures, architecture documentation, and incident reports.Required Skills And QualificationsHands-on experience with AWS infrastructure and cloud services.Experience working with GAIA and GKP infrastructure.Knowledge of infrastructure deployment, configuration, and environment management.Experience with monitoring, alerting, logging, and telemetry implementation.Familiarity with tools such as Prometheus, Grafana, CloudWatch, or equivalent observability platforms.Experience with CI/CD pipelines and automated deployment tools.Strong troubleshooting skills across infrastructure, networking, and application environments.Proficiency in scripting languages such as Python, Bash, or Shell.Understanding of Linux/Unix operating systems, networking, DNS, load balancing, and security fundamentals.Knowledge of incident management, root cause analysis, and production support processes.Understanding of high availability, disaster recovery, scalability, and fault-tolerant system design.Preferred SkillsExperience with Kubernetes, Docker, and container orchestration.Familiarity with Terraform or other Infrastructure as Code tools.Knowledge of distributed systems and cloud-native architecture.Experience with centralized logging and distributed tracing solutions.Understanding of SRE practices, error budgets, and reliability metrics.Experience with infrastructure performance optimization and cloud cost management.Experience And EducationExperience: 3–8 years in SRE, DevOps, cloud infrastructure, or production operations, depending on the seniority of the role.Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.Key Success CriteriaImproved infrastructure availability and service reliability.Reduced incident frequency and mean time to recovery (MTTR).Reliable and repeatable deployment processes.Effective monitoring, alerting, and telemetry coverage.Increased automation and reduced manual operational effort.Improved infrastructure performance, scalability, and operational efficiency.Apply 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":"2026-11-01T07:07:02.654Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Site Reliability Engineer","description":"HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob DescriptionJob OverviewJob ID:J53393Job Title:Site Reliability EngineerLocation:Austin, TXDuration:12 Months + ExtensionDomain Exposure:RetailWork 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 JobsSite Reliability Engineer - Pittsburgh, PASite Reliability Engineer - Tampa, FLSite Reliability Engineer - dallas, TXSite Reliability Engineering (SRE) Architect - Atlanta, GAETL Site Reliability Engineer - Charlotte, NCMandatory SkillsWe are looking for a skilled Site Reliability Engineer (SRE) with hands-on experience in AWS, GAIA, and GKP infrastructure. The candidate will be responsible for infrastructure management, deployment automation, monitoring, telemetry, reliability engineering, and production operations to ensure the availability, scalability, performance, and resilience of critical services.Key ResponsibilitiesInfrastructure Management: Design, deploy, manage, and maintain AWS and GAIA/GKP infrastructure to ensure high availability, scalability, and reliability.Deployment and Release Management: Implement and maintain automated deployment pipelines, support application releases, and manage deployment rollbacks across environments.Monitoring and Observability: Configure and maintain monitoring, alerting, dashboards, logging, and telemetry solutions to proactively identify and resolve issues.Site Reliability Engineering: Define and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to improve service reliability.Incident Management: Respond to production incidents, troubleshoot infrastructure and application issues, perform root cause analysis (RCA), and implement preventive measures.Automation and Tooling: Develop scripts and automation to reduce manual operational tasks and improve deployment efficiency.Performance and Capacity Management: Monitor resource utilization, analyze performance bottlenecks, and optimize infrastructure capacity and costs.Infrastructure as Code (IaC): Automate infrastructure provisioning and configuration using tools such as Terraform, CloudFormation, or equivalent technologies.Security and Compliance: Implement infrastructure security best practices, access controls, secrets management, and compliance requirements.Collaboration: Work closely with development, DevOps, platform engineering, and operations teams to improve system reliability and operational efficiency.Documentation: Maintain operational runbooks, deployment procedures, architecture documentation, and incident reports.Required Skills And QualificationsHands-on experience with AWS infrastructure and cloud services.Experience working with GAIA and GKP infrastructure.Knowledge of infrastructure deployment, configuration, and environment management.Experience with monitoring, alerting, logging, and telemetry implementation.Familiarity with tools such as Prometheus, Grafana, CloudWatch, or equivalent observability platforms.Experience with CI/CD pipelines and automated deployment tools.Strong troubleshooting skills across infrastructure, networking, and application environments.Proficiency in scripting languages such as Python, Bash, or Shell.Understanding of Linux/Unix operating systems, networking, DNS, load balancing, and security fundamentals.Knowledge of incident management, root cause analysis, and production support processes.Understanding of high availability, disaster recovery, scalability, and fault-tolerant system design.Preferred SkillsExperience with Kubernetes, Docker, and container orchestration.Familiarity with Terraform or other Infrastructure as Code tools.Knowledge of distributed systems and cloud-native architecture.Experience with centralized logging and distributed tracing solutions.Understanding of SRE practices, error budgets, and reliability metrics.Experience with infrastructure performance optimization and cloud cost management.Experience And EducationExperience: 3–8 years in SRE, DevOps, cloud infrastructure, or production operations, depending on the seniority of the role.Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.Key Success CriteriaImproved infrastructure availability and service reliability.Reduced incident frequency and mean time to recovery (MTTR).Reliable and repeatable deployment processes.Effective monitoring, alerting, and telemetry coverage.Increased automation and reduced manual operational effort.Improved infrastructure performance, scalability, and operational efficiency.Apply 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":"2026-11-01T07:07:02.654Z","dateModified":"2026-11-01T07:07:02.654Z","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":"25e1c99a5c3d81fd57c1eaa9"},"url":"https://jobsearcher.com/jobs/25e1c99a5c3d81fd57c1eaa9"}}