ClickUp

ClickUp

GTM DevOps Engineer

United States

No sponsorshipDetected 42 days ago
PythonBashNode.jsGitAWSGCPCloud PlatformsTerraformCI/CDGitHub ActionsJenkinsDatadogDevOpsSite Reliability EngineeringPlatform EngineeringRESTMachine LearningData EngineeringAgentic AICybersecuritySalesforceCRMSupply ChainERP

About the role

  • We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack.
  • This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems - including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads - are deployed consistently, operate resiliently, and scale with the business.
  • You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable.

Responsibilities

  • Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato
  • 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
  • Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.
  • 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)
  • 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.
  • 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.
  • Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments.

Requirements

  • Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases
  • Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado
  • Technical

Nice to have

  • 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role
  • 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments)
  • Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity
  • Hands-on experience with GCP services - Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS - in a deployment or operations context
  • Experience with AWS services in an integration or operations context - Lambda, S3, SQS, Secrets Manager, CloudWatch
  • familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus
  • Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices
  • Experience with incident management, on-call processes, and writing post-incident reviews

Skills

  • Strong scripting skills in Python, Bash, or Node.js for automation and tooling
  • Proficiency with Git, branching strategies, and version control best practices
  • Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools
  • Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar)
  • Infrastructure-as-code proficiency - Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred
  • iPaaS automation platform; monitored and deployed within the broader GTM reliability framework.
  • Primary cloud platform for AI agent workloads and integration microservices.
  • Secondary cloud environment for agent hosting and integration operations.
  • Observability and alerting stack across GTM and cloud workloads.

Compensation

  • Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum).

Benefits

  • Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end.
  • 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.

Company info

  • 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.
  • Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process.
  • Join us and help redefine what's possible. 🚀

Equal opportunity

  • Employer
  • ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
  • Visa Sponsorship
  • Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.

Visa & Work Authorization

  • Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time.
  • Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time.
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