GTM DevOps Engineer

Job summary

ClickUp is seeking a GTM DevOps Engineer to join their Business Systems team. This role focuses on ensuring the reliability, automation, and delivery infrastructure for their Go-To-Market technology stack, including Salesforce, NetSuite, MuleSoft, and Workato. The engineer will also be responsible for infrastructure and deployment of AI agent workloads on GCP Cloud Run and AWS Bedrock AgentCore.

Benefits

Qualifications

• 4+ years in a DevOps, Site Reliability Engineering, or Platform Engineering role
• 2+ years of hands-on experience deploying and managing Salesforce environments
• Experience with at least one additional GTM/ERP platform such as NetSuite, MuleSoft, or Workato in an operational or deployment capacity
• Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado
• Hands-on experience with GCP services including 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 including 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
• 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
• Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager
• Strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation)
• Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar)
• Infrastructure-as-Code proficiency with Terraform or CloudFormation
• Experience applying Infrastructure-as-Code to Cloud Run or Lambda-based workloads preferred
• Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases

Responsibilities

• Design, build, and maintain CI/CD pipelines for Salesforce, NetSuite, MuleSoft, and Workato
• Establish branching strategies, environment promotion standards, and release gating processes across GTM platforms
• Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore
• Implement safe rollout patterns including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures
• Define SLA/SLO for core GTM systems
• Standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations
• Extend observability coverage to GCP Cloud Run workloads and AWS-hosted agent infrastructure
• Conduct root cause analysis for platform incidents and drive post-incident reviews with remediation plans
• Manage sandbox, staging, and production environment lifecycles across GTM platforms
• Own cloud infrastructure for Business Systems-operated workloads on GCP and AWS
• Apply Infrastructure-as-Code practices for repeatable and auditable provisioning
• Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads
• Define and enforce patch management and container runtime ownership for agentic workloads
• Establish and enforce consistent secrets management standards across Business Systems workloads
• Define and maintain API key rotation policies in alignment with security standards
• Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and endpoint governance for Cloud Run and Bedrock deployments
• Maintain a centralized registry of deployed workloads
• Build internal tooling, automation scripts, and automated testing frameworks
• Develop or enforce GitHub repository templates for Cloud Run deployments
• Define self-service deployment and administration boundaries versus stronger change control

Skills

Relocation