Senior Software Engineer – Internally Deployed Products

ClickUp

Senior Software Engineer developing AI-native products and tooling for ClickUp, leveraging advanced AI infrastructure and collaborating with cross-functional teams.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $160,000 - $210,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaScriptNode.jsPythonTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

Software EngineeringREST API DesignOAuth 2.0Infrastructure-as-CodeCI/CD PipelinesAutomation ScriptingData PipelinesTestable CodeAgent OrchestrationPrompt Engineering

Soft Skills

Clear Written Communication