{"schemaVersion":"jobsearcher.job.v1","id":"e9db1cea9b145d7f26e94485","url":"https://jobsearcher.com/jobs/e9db1cea9b145d7f26e94485","canonicalUrl":"https://jobsearcher.com/jobs/e9db1cea9b145d7f26e94485","title":"DevOps Engineer","description":"Pivotly builds B2B software that helps businesses move faster. Our two products — Pivotly Parse, an AI-powered document parsing platform with human-in-the-loop verification, and Pivotly Core, an integration platform connecting ERPs, CRMs, and quoting tools — are used by teams that can't afford operational drag. We're a lean, ambitious team building infrastructure that matters.\nRole Overview\nWe're looking for a Senior DevOps Engineer to own our infrastructure end-to-end. You'll work closely with the engineering team to build reliable, scalable systems for two distinct product lines — one with heavy AI workloads, one with complex integration pipelines. This is a hands-on role with real ownership: you'll set the direction for our CI/CD, cloud infrastructure, observability stack, and security posture.\nWhat You’ll Do\nDesign, build, and maintain scalable cloud infrastructure on Azure (primary) with awareness of multi-cloud considerations\nOwn CI/CD pipelines end-to-end — from commit to production — using Azure DevOps\nManage containerized workloads with Docker and Kubernetes; optimize for reliability and cost\nImplement and maintain observability tooling: logging, metrics, alerting, and on-call runbooks\nHarden security posture: secrets management, network policies, access controls, and compliance readiness\nSupport AI/ML infrastructure needs for Pivotly Parse — GPU scheduling, model deployment, Python Runner environments\nBuild out infrastructure-as-code practices (Terraform or Bicep) and drive adoption across the team\nCollaborate with engineers to diagnose production issues and reduce toil through automation\nOwn the incident response process and drive post-mortems with actionable follow-through\nWhat We’re Looking For\n5+ years in a DevOps, SRE, or infrastructure engineering role\nDeep hands-on experience with Azure and Azure DevOps\nStrong Kubernetes and container orchestration skills in production environments\nProficiency in infrastructure-as-code; Terraform preferred\nSolid scripting ability in Python or Bash for automation\nExperience supporting Python-based application environments and async workloads\nTrack record of improving reliability metrics (uptime, deployment frequency, MTTR)\nStrong communicator — comfortable working async across time zones with minimal hand-holding\nNice to Have\nExperience with AI/ML infrastructure — model serving, GPU scheduling, or data pipeline orchestration\nFamiliarity with ERP/CRM integration environments and the data flows they generate\nBackground in B2B SaaS or platform engineering\nExperience with cron-based and event-driven scheduling systems\nWork Location: Remote","company":"Pivotly","rawCompany":"pivotly","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T18:12:39.915Z","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":"DevOps Engineer","description":"Pivotly builds B2B software that helps businesses move faster. Our two products — Pivotly Parse, an AI-powered document parsing platform with human-in-the-loop verification, and Pivotly Core, an integration platform connecting ERPs, CRMs, and quoting tools — are used by teams that can't afford operational drag. We're a lean, ambitious team building infrastructure that matters.\nRole Overview\nWe're looking for a Senior DevOps Engineer to own our infrastructure end-to-end. You'll work closely with the engineering team to build reliable, scalable systems for two distinct product lines — one with heavy AI workloads, one with complex integration pipelines. This is a hands-on role with real ownership: you'll set the direction for our CI/CD, cloud infrastructure, observability stack, and security posture.\nWhat You’ll Do\nDesign, build, and maintain scalable cloud infrastructure on Azure (primary) with awareness of multi-cloud considerations\nOwn CI/CD pipelines end-to-end — from commit to production — using Azure DevOps\nManage containerized workloads with Docker and Kubernetes; optimize for reliability and cost\nImplement and maintain observability tooling: logging, metrics, alerting, and on-call runbooks\nHarden security posture: secrets management, network policies, access controls, and compliance readiness\nSupport AI/ML infrastructure needs for Pivotly Parse — GPU scheduling, model deployment, Python Runner environments\nBuild out infrastructure-as-code practices (Terraform or Bicep) and drive adoption across the team\nCollaborate with engineers to diagnose production issues and reduce toil through automation\nOwn the incident response process and drive post-mortems with actionable follow-through\nWhat We’re Looking For\n5+ years in a DevOps, SRE, or infrastructure engineering role\nDeep hands-on experience with Azure and Azure DevOps\nStrong Kubernetes and container orchestration skills in production environments\nProficiency in infrastructure-as-code; Terraform preferred\nSolid scripting ability in Python or Bash for automation\nExperience supporting Python-based application environments and async workloads\nTrack record of improving reliability metrics (uptime, deployment frequency, MTTR)\nStrong communicator — comfortable working async across time zones with minimal hand-holding\nNice to Have\nExperience with AI/ML infrastructure — model serving, GPU scheduling, or data pipeline orchestration\nFamiliarity with ERP/CRM integration environments and the data flows they generate\nBackground in B2B SaaS or platform engineering\nExperience with cron-based and event-driven scheduling systems\nWork Location: Remote","datePosted":"2026-08-03T18:12:39.915Z","dateModified":"2026-08-03T18:12:39.915Z","hiringOrganization":{"@type":"Organization","name":"Pivotly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e9db1cea9b145d7f26e94485"},"url":"https://jobsearcher.com/jobs/e9db1cea9b145d7f26e94485"}}