Backend Engineer, Cloud Platform

ClickUp; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Job summary

ClickUp is seeking a Senior Software Engineer for its Cloud Platform team to design, build, and operate the compute, networking, and IaC foundation powering ClickUp for millions of users.

You will scale AWS infrastructure, emphasize EKS and security, partner with SRE, Security, product, and AI teams, and drive reliability improvements across multi-region deployments.

Qualifications

• 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud.
• Hands-on production experience with Kubernetes in production, ideally Amazon EKS at scale.
• Strong AWS experience: EKS, EC2, Lambda, API Gateway, VPC, IAM, S3, KMS.
• Experience with multi-account AWS, Terraform, and IaC at scale.

Responsibilities

• Build and scale AWS infrastructure with a focus on Amazon EKS, networking, and self-hosted services.
• Identify improvements and risks, proposing solutions to improve reliability and cost efficiency.
• Automate buildouts and implement guardrails and hardened ingress to reduce incidents.
• Scale systems for multi-shard, multi-region growth while meeting security and compliance requirements.

Skills

Kubernetes

AWS

Terraform

Go

Python

TypeScript/Node.js

Distributed systems

Incident response

Security guardrails

Cross-functional collaboration

Tools

Terraform

Job description

Описание: 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. 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.

Задачи

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.

Требования

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.