Senior Backend Engineer, Cloud Platform

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀

The role

ClickUp's Cloud Platform team builds scalable, secure, and cost-efficient AWS infrastructure, with a heavy focus on Amazon EKS, that stays ahead of product and enterprise growth. Our goal: product velocity is never blocked by platform constraints. As a Senior Software Engineer, you leverage AI to design, build, and operate the compute, networking, and infrastructure-as-code foundation that powers ClickUp for millions of users.

What you'll do

- Build and scale AWS infrastructure and reusable platform abstractions that simplify development, with a strong focus on Amazon EKS, networking, and self-hosted services. - Identify improvement opportunities and emerging risks, and propose novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers. - Automate shard buildouts and implement Terraform guardrails and hardened ingress that reduce incidents. - Scale systems for multi-shard, multi-region growth while meeting compliance attestations (SOC 2, ISO 27001, etc), disaster recovery, and enterprise security requirements. - Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering. - Own the reliability of Cloud Platform itself: on-call, incident response, postmortems, runbooks, and prevention. - Use AI tooling daily to accelerate development, testing, IaC, operations, and investigations, and help the team raise its AI leverage.

What we're looking for

- 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations. - Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues, ideally Amazon EKS at fleet scale. - Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS. Bedrock is a plus. - Multi-account AWS (20+ accounts) experience, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing. - Infrastructure-as-code at scale with Terraform (CDK experience is a plus). - Fluent coding in at least one language (Go, Python, or TypeScript/Node.js preferred). - Experience with hybrid monolith/microservices architectures. - Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey. - Track record of improving infrastructure reliability and efficiency and implementing security guardrails. - Strong production debugging across application and infrastructure boundaries, clear written communication, and effective cross-functional collaboration. - Daily AI user with concrete examples of how AI supercharged your engineering workflow.