SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 133,450 - 197,200 / annual
ClickHouse, a Forbes Cloud 100 company and leader in real-time analytics and data warehousing, is seeking a Senior Cloud Software Engineer to join the Cloud Infrastructure Engineering team. The team builds and manages the foundational infrastructure of ClickHouse Cloud, including compute, networking, security, and multi-cloud, multi-region architecture.
In this role, you will architect and build robust, scalable, and highly available distributed infrastructure. You'll design cutting-edge cloud-native platforms on public cloud providers and automate cloud resource management. Key responsibilities include executing high-impact infrastructure optimization initiatives across compute, storage, and networking; collaborating with ClickHouse engineering teams to develop high-performance, reliable, and cost-effective SaaS solutions; and systematically optimizing cost efficiency through distributed systems and industry best practices. You'll also partner with business stakeholders to design tooling for cost efficiency insights.
You bring 5+ years of software development experience building and operating scalable, fault-tolerant distributed systems. You have strong proficiency in Go, C/C++, Java, or similar OOP languages, and hands-on experience with AWS, Azure, or GCP, including infrastructure-as-code tools like Terraform or CloudFormation. You've developed cloud infrastructure services, preferably with Kubernetes, and have experience with cloud-native edge or service mesh services (Envoy, Istio). You understand network topologies, protocols, and security principles (VPNs, firewalls, load balancers), and are familiar with cloud security best practices including encryption, access controls, and compliance standards (SOC2, GDPR). You excel at leading and shipping large-scope technical projects collaboratively, have strong production debugging skills, and thrive in fast-paced environments with a focus on efficiency, availability, scalability, and data governance.
