Senior Backend Engineer, Cloud Platform

Job not on LinkedIn

🔥 3 minutes ago

🌐 United Kingdom, Bulgaria, +5 more countries – Remote

🇬🇧 United Kingdom – Remote 🇧🇬 Bulgaria – Remote 🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote 🇭🇺 Hungary – Remote 🇨🇿 Czechia – Remote 🇮🇪 Ireland – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ClickUp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $400M Series C - ClickUp on 2021-10

SaaS • Productivity • Enterprise

ClickUp is a cloud-based SaaS work management and productivity platform that consolidates projects, docs, chat, time tracking, automations and AI-driven "Super Agents" into a single workspace. It helps teams and enterprises streamline workflows, replace fragmented software stacks, and boost productivity with integrations, customizable agents/workflows, and enterprise-grade security and compliance.

📋 Description

• Build and scale AWS infrastructure and reusable platform abstractions, focusing on Amazon EKS, networking, and self-hosted services • Identify improvement opportunities and emerging risks and propose solutions that improve reliability, scalability, and cost efficiency • Automate shard buildouts and implement Terraform guardrails and hardened ingress to reduce incidents • Scale systems for multi-shard, multi-region growth while meeting SOC 2, ISO 27001, disaster recovery, and enterprise security requirements • Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering • Own Cloud Platform reliability through on-call, incident response, postmortems, runbooks, and prevention • Use AI tooling daily to accelerate development, testing, infrastructure-as-code, operations, and investigations, and help improve team AI leverage

🎯 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; ideally Amazon EKS at fleet scale • Strong AWS experience with EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, and KMS • Bedrock experience is a plus • Experience with multi-account AWS environments with 20+ accounts, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing • Infrastructure-as-code experience 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 improved engineering workflow

🏖️ Benefits

• AI-native company culture with daily AI use encouraged and AI fluency evaluated during hiring • Opportunity to work on infrastructure powering millions of users • Collaboration with SRE, Security, product, AI, and enterprise teams • On-call, incident response, postmortems, runbooks, and prevention ownership • Equal opportunity employment