Senior Software Engineer – Internally Deployed Products

Job not on LinkedIn

🕒 June 29

🇺🇸 United States – Remote

💵 $160k - $210k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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ClickUp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• Own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling • Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack • Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch • Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable • Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server • Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows • Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable • Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction • Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns

🎯 Requirements

• 5+ years of professional software engineering experience with production systems • Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code • Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling • Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch • Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users • Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management • Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness • Clear written communication: design docs, ADRs, and runbooks that others actually read • Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick

🏖️ Benefits

• Equity • 401k • Health, Dental, and Vision insurance • Spending accounts • Life & Disability • Paid parental leave • Flexible paid time off • Enhanced employee assistance program • Employee wellness stipend • Professional development stipend