ClickUp logo
ClickUp

The world's most productive AI Workspace for projects, tasks, chat, docs, and more. All software and humans - converged.

Senior Software Engineer – Internally Deployed Products

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2017H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

$160K - $210K / year

Seniority

Senior

Job Description

Senior Software Engineer – Internally Deployed Products

ClickUp

• 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

Job 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

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