GTM DevOps EngineerActive$160K–$210K

The opportunity

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company.

What you'll do

  • Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce: CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms.

  • Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run: and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates.

  • Implement safe rollout patterns: including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.

  • Own SLA/SLO definitions for core GTM systems; standardize monitoring,: alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato).

  • Extend observability coverage to GCP Cloud Run workloads: Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure.

  • Conduct root cause analysis (RCA) for platform incidents and drive: post-incident reviews with actionable remediation plans.

What they're looking for

  • Manage sandbox, staging, and production environment lifecycles across GTM: platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability.
  • Own cloud infrastructure for Business Systems-operated workloads on GCP: (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable.
  • Establish base image pinning, dependency vulnerability scanning, and supply: chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code.
  • Define and enforce patch management and container runtime ownership for: vibe-coded and agentic workloads entering production.