GTM DevOps Engineer

The role

You will own the reliability, automation, and delivery infrastructure for the Go-To-Market technology stack. This includes managing CI/CD pipelines, cloud infrastructure, and observability for systems like Salesforce, NetSuite, and AI agent workloads.

What you will do

• Design, build, and maintain CI/CD pipelines for Salesforce, NetSuite, MuleSoft, and Workato
• Extend CI/CD practices to cover AI agent workloads on GCP Cloud Run and AWS Bedrock AgentCore
• Implement safe rollout patterns including feature toggles and automated validation
• Own SLA/SLO definitions and standardize monitoring and alerting for GTM systems
• Conduct root cause analysis for platform incidents
• Manage sandbox, staging, and production environment lifecycles
• Own cloud infrastructure on GCP and AWS using IaC practices
• Establish base image pinning, dependency scanning, and supply chain security
• Enforce secrets management standards and API key rotation policies
• Build internal tooling and automated testing frameworks

Required qualifications

• 4+ years in a DevOps, Site Reliability Engineering (SRE), 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
• 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, and GCS
• Experience with AWS services including Lambda, S3, SQS, Secrets Manager, and CloudWatch
• Experience managing containerized workloads
• Experience with incident management, on-call processes, and writing post-incident reviews
• Strong scripting skills in Python, Bash, or Node.js
• Proficiency with Git, branching strategies, and version control best practices
• Understanding of API-based integration patterns
• Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager

Nice to have

• Familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure
• Infrastructure-as-code proficiency with Terraform or CloudFormation
• Experience applying IaC to Cloud Run or Lambda-based workloads

Before you apply

• AI fluency is evaluated as part of the hiring process
• Sponsorship for engineering and product roles is not guaranteed and is based on business needs

About the company

ClickUp is an AI-native company building a converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search.