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ClickUp is building an AI-native workspace that unifies tasks, docs, chat, calendar, and enterprise search. The Cloud Platform team is responsible for designing and operating scalable, secure, and cost-efficient AWS infrastructure that powers the product for millions of users.
In this role, you will:
- Build and scale AWS infrastructure and reusable platform abstractions, with a strong focus on Amazon EKS, networking, and self-hosted services that simplify development across the organization.
- Identify improvement opportunities and emerging risks, proposing novel solutions that improve reliability, scalability, and cost efficiency before constraints become blockers.
- Automate shard buildouts and implement Terraform guardrails and hardened ingress to reduce incidents and operational overhead.
- Scale systems for multi-shard, multi-region growth while meeting compliance requirements (SOC 2, ISO 27001), disaster recovery, and enterprise security standards.
- Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering concerns.
- Own the reliability of the Cloud Platform itself, including on-call rotations, incident response, postmortems, runbooks, and prevention strategies.
- Leverage AI tooling daily to accelerate development, testing, infrastructure-as-code, operations, and investigations, and help the team raise its AI leverage.
The company emphasizes AI fluency as a core expectation; every team member is expected to use AI daily and demonstrate concrete examples of how AI has supercharged their engineering workflow.
REQUIREMENTS:
- 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; Amazon EKS at fleet scale is ideal.
- Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, KMS (Bedrock is a plus).
- Multi-account AWS experience (20+ accounts), 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: PostgreSQL, DynamoDB, S3, 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 has supercharged your engineering workflow.
