GTM DevOps Engineer

ClickUp; United States; On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

AI-focused work environment

Job summary

ClickUp is seeking a GTM DevOps Engineer to enhance their Business Systems team. This role involves managing CI/CD pipelines, assuring platform reliability, and automating deployment processes across their technology stack.

The ideal candidate has extensive experience in DevOps and platform engineering, providing exposure to tools like Salesforce, AWS, and GCP. Develop your career in a company that's committed to AI-driven efficiency while enjoying competitive compensation and an inclusive work environment.

Qualifications

• 4+ years in DevOps, SRE, or Platform Engineering role.
• 2+ years managing Salesforce environments.
• Experience with deploying GTM/ERP platforms.

Responsibilities

• Design and maintain CI/CD pipelines.
• Perform root cause analysis for platform incidents.
• Manage cloud infrastructure lifecycles.

Skills

Scripting in Python

Scripting in Bash

Git proficiency

Container security practices

Monitoring tools

Infrastructure-as-code with Terraform

Tools

Salesforce

GCP (Cloud Run)

AWS

GitHub Actions

Terraform

Job description

At ClickUp, we are building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all powered by context‑driven AI. We are an AI‑native company and expect every team member to engage with AI daily and demonstrate AI fluency as part of our hiring process.

Job Summary

We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind the Go‑To‑Market (GTM) technology stack. The role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems—Salesforce, NetSuite, MuleSoft, Workato, and expanding AI‑powered workloads—are deployed consistently, operate resiliently, and scale with the business.

Key Responsibilities

CI/CD & Release Engineering

• Design, build, and maintain CI/CD pipelines for Salesforce, NetSuite, MuleSoft, 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 on GCP Cloud Run and AWS Bedrock AgentCore, including containerized builds, deployment pipelines, and automated validation gates.
• Implement safe rollout patterns—feature toggles, phased launches, automated validation, smoke tests, and rollback procedures—to reduce deployment risk on business‑critical changes.

Platform Reliability & Observability

• 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 (Salesforce – NetSuite, Workato).
• Expand 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.

Cloud Infrastructure & Environment Management

• Manage sandbox, staging, and production environment lifecycles across GTM platforms—refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability.
• Own cloud infrastructure for Business Systems‑operated workloads on GCP and AWS; 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 AI‑generated and agentic workloads entering production.

Secrets, Access & Security Posture

• Establish 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 contexts.
• Define 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 deployments.
• Maintain a centralized registry of deployed workloads—GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links—accessible to AppSec and infrastructure teams.

Automation & Tooling

• Build internal tooling, automation scripts, and automated testing frameworks to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience.
• Develop 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 builds.

Governance, Standards & Collaboration

• Define scopes for self‑service deployment and administration versus stronger change control and operational guardrails; serve as the DevOps SME, enabling developers to operate autonomously within those boundaries.
• Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts.
• Collaborate with IT, Data Engineering, Security, and business stakeholders on cross‑functional initiatives that touch the GTM platform.

Qualifications

Experience

• 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role.
• 2+ years 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—NetSuite, MuleSoft, or Workato—in an operational or deployment capacity.
• Demonstrated experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Copado.
• Hands‑on experience with GCP services—Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS—in deployment or operations contexts.
• Experience with AWS services—Lambda, S3, SQS, Secrets Manager, CloudWatch—and familiarity with Bedrock AgentCore is a strong plus.
• Experience managing containerized workloads: image lifecycle, dependency scanning, and supply chain security practices.
• Experience with incident management, on‑call processes, and writing post‑incident reviews.

Skills & Competencies

Technical

• 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 CI/CD security best practices (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 preferred.
• Familiarity with container security practices: base image pinning, vulnerability scanning, and dependency management for AI‑generated codebases.

Operational & Mindset

• Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end‑to‑end.
• Velocity: Operates with a bias for action—ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable.
• AI & Automation mindset: Actively leverages AI‑assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack.
• Collaboration: Fluent cross‑functional partner to developers, architects, Security, IT, and business stakeholders—enables autonomy without becoming a bottleneck.
• Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.

What You’ll Work With

• Salesforce: Core GTM CRM platform; owns deployment pipelines, environment management, and release reliability across orgs.
• NetSuite: ERP platform integrated into the quote‑to‑cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards.
• MuleSoft (Anypoint Platform): Integration middleware; maintains deployment pipelines and observability for MuleSoft‑managed flows.
• Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework.
• GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices.
• AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations.
• GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms.
• Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning.
• Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads.

Compensation Range: $160K - $210K

Equal Opportunity Employer

ClickUp is an Equal Opportunity Employer; qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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Visa Sponsorship

We are unable to sponsor employment visas outside of engineering and product roles at this time.

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ClickUp Talent Acquisition will only initiate contact via an @clickup.com email or through our official careers portal on clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to [e-mail].

AI Processing Notice

ClickUp may use artificial intelligence and machine learning technologies to review and screen candidates’ employment applications against role‑related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at [e-mail].