{"schemaVersion":"jobsearcher.job.v1","id":"d6e9a53b065a7da548c5c7df","url":"https://jobsearcher.com/jobs/d6e9a53b065a7da548c5c7df","canonicalUrl":"https://jobsearcher.com/jobs/d6e9a53b065a7da548c5c7df","title":"Site Reliability Engineer","description":"Iris's direct client one of the biggest brokerages is looking to hire a SRE Engineer. This role will be on Iris’s W2. It can be structured as a Full Time Position with Iris.Location: Austin, TX HYBRIDW2 ONLYJob DescriptionEvangelize SRE mindset and solve problems through systematization.Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications.Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput.Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems - including anomaly detection and predictive alerting to improve platform reliability.Lead expansion of automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise and support on key initiatives for system availability and reliability.Triage alerts and diagnose/resolve critical issues; manage implementation of changes with clear communication and minimal risk.Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications; leverage AI/ML capabilities to enhance operational visibility and rollout validation at scale.Champion AIOps platform adoption and ML-assisted observability practices across the team.Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.Develop CI/CD orchestration systems to reduce friction for software delivery to production; drive adoption of GitOps concepts and AI-assisted pipeline optimization.","company":"Iris Software","rawCompany":"iris software","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-18T09:46:03.964Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"Site Reliability Engineer","description":"Iris's direct client one of the biggest brokerages is looking to hire a SRE Engineer. This role will be on Iris’s W2. It can be structured as a Full Time Position with Iris.Location: Austin, TX HYBRIDW2 ONLYJob DescriptionEvangelize SRE mindset and solve problems through systematization.Identify opportunities to build innovative tools and solve unique operations problems on large enterprise and mission-critical applications.Create scripts to automate operational tasks and incorporate solutions into infrastructure; architect and own production automation solutions that measurably reduce manual toil and improve operational throughput.Design and implement AI/ML-driven automation pipelines, observability enhancements, and proactive operational response systems - including anomaly detection and predictive alerting to improve platform reliability.Lead expansion of automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.Collaborate with Engineering, Scrum, and Ops resources to provide technical expertise and support on key initiatives for system availability and reliability.Triage alerts and diagnose/resolve critical issues; manage implementation of changes with clear communication and minimal risk.Develop tools, frameworks, and instrumentation to validate and increase rollout success for applications; leverage AI/ML capabilities to enhance operational visibility and rollout validation at scale.Champion AIOps platform adoption and ML-assisted observability practices across the team.Coordinate capacity planning using data-driven trend analysis and ML-informed forecasting.Develop CI/CD orchestration systems to reduce friction for software delivery to production; drive adoption of GitOps concepts and AI-assisted pipeline optimization.","datePosted":"2026-09-18T09:46:03.964Z","dateModified":"2026-09-18T09:46:03.964Z","hiringOrganization":{"@type":"Organization","name":"Iris Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6e9a53b065a7da548c5c7df"},"url":"https://jobsearcher.com/jobs/d6e9a53b065a7da548c5c7df"}}