DevOps Engineer

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. Role Overview We'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. What You’ll Do * Design, build, and maintain scalable cloud infrastructure on Azure (primary) with awareness of multi\-cloud considerations * Own CI/CD pipelines end\-to\-end — from commit to production — using Azure DevOps * Manage containerized workloads with Docker and Kubernetes; optimize for reliability and cost * Implement and maintain observability tooling: logging, metrics, alerting, and on\-call runbooks * Harden security posture: secrets management, network policies, access controls, and compliance readiness * Support AI/ML infrastructure needs for Pivotly Parse — GPU scheduling, model deployment, Python Runner environments * Build out infrastructure\-as\-code practices (Terraform or Bicep) and drive adoption across the team * Collaborate with engineers to diagnose production issues and reduce toil through automation * Own the incident response process and drive post\-mortems with actionable follow\-through What We’re Looking For * 5\+ years in a DevOps, SRE, or infrastructure engineering role * Deep hands\-on experience with Azure and Azure DevOps * Strong Kubernetes and container orchestration skills in production environments * Proficiency in infrastructure\-as\-code; Terraform preferred * Solid scripting ability in Python or Bash for automation * Experience supporting Python\-based application environments and async workloads * Track record of improving reliability metrics (uptime, deployment frequency, MTTR) * Strong communicator — comfortable working async across time zones with minimal hand\-holding Nice to Have * Experience with AI/ML infrastructure — model serving, GPU scheduling, or data pipeline orchestration * Familiarity with ERP/CRM integration environments and the data flows they generate * Background in B2B SaaS or platform engineering * Experience with cron\-based and event\-driven scheduling systems Work Location: Remote