[Remote] GTM DevOps Engineer

Note: The job is a remote job and is open to candidates in USA. ClickUp is building the future of work with an AI-native workspace that unifies various tools and technologies. They are seeking a GTM DevOps Engineer to manage the reliability and automation of their Go-To-Market technology stack, ensuring smooth deployment and operation of critical business systems.ResponsibilitiesDesign, 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 platformsExtend 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 gatesImplement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changesOwn 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 infrastructureConduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plansManage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliabilityOwn 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 auditableEstablish 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 CodeDefine and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering productionEstablish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contextsDefine and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum)Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deploymentsMaintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teamsBuild internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experienceDevelop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted buildsDefine where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundariesDocument and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifactsCollaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platformSkills4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role2+ 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 capacityDemonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CopadoHands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations contextExperience 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 plusExperience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practicesExperience with incident management, on-call processes, and writing post-incident reviewsStrong scripting skills in Python, Bash, or Node.js for automation and toolingProficiency with Git, branching strategies, and version control best practicesUnderstanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS toolsHands-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 — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferredFamiliarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebasesOwnership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-endVelocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictableAI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stackCollaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneckGrowth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experienceCompany OverviewClickUp is a cloud-based productivity and project management software company that provides an all-in-one platforms for task management. It was founded in 2017, and is headquartered in San Diego, California, USA, with a workforce of 1001-5000 employees. Its website is https://clickup.com.Company H1B SponsorshipClickUp has a track record of offering H1B sponsorships, with 2 in 2026, 7 in 2025, 10 in 2024, 11 in 2023, 27 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.