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