clickup - Senior Backend Engineer, Cloud Platform
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: 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.
Responsibilities
• 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.
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