Senior Backend Engineer, Cloud Platform

ClickUp

United States

Remote

USD 180,000 - 260,000

Full time

4 days ago
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Job summary

ClickUp is shaping the future of work with an AI-native approach. We are building a scalable Cloud Platform on AWS, focusing on EKS, networking, and secure, cost-efficient infrastructure to support millions of users.

As a Senior Software Engineer, you will design, build, and operate the compute and infrastructure foundation, drive reliability, and collaborate across teams to advance platform capabilities and AI-driven tooling.

Qualifications

  • 6+ years building large-scale distributed systems focused on infrastructure and cloud.
  • Hands-on Kubernetes in production, ideally Amazon EKS at fleet scale.
  • Strong AWS expertise: EKS, EC2, Lambda, API Gateway, VPC, IAM, S3, KMS.
  • Multi-account AWS experience (20+ accounts).
  • IaC at scale with Terraform; CDK experience a plus.
  • Fluent in Go, Python, or TypeScript/Node.js.

Responsibilities

  • Build and scale AWS infrastructure and reusable platform abstractions focused on EKS and networking.
  • Identify risks and propose solutions to improve reliability, scalability, and cost efficiency.
  • Automate shard buildouts and implement Terraform guardrails and hardened ingress.
  • Scale systems for multi-region growth with compliance attestations and security requirements.
  • Collaborate with SRE, Security, product, AI and enterprise teams to bridge infrastructure and product engineering.

Skills

Kubernetes
AWS
Terraform
Go
Python
TypeScript/Node.js

Tools

CDK

Job description

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
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