Cloud Software Engineer - Efficiency Engineering

The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.

What will you do?

• Architect and build a robust, scalable, and highly available distributed infrastructure.
• Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
• Execute high-impact infrastructure optimization initiatives across compute, storage, and networking.
• Collaborate with the ClickHouse engineering teams to develop high-performance, reliable, and cost-effective solutions for our SaaS platform.
• Optimize cost efficiency systematically through the implementation of distributed systems and industry best practices.
• Partner with business stakeholders to design and construct tooling for cost efficiency insights.

• 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or another OOP language.
• Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
• Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
• You have excellent communication skills and the ability to work well within a global team.
• You are a strong problem-solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

The typical starting salary for this role in the US is $133,450-$197,200 USD The typical starting salary for this role in US Premium Markets is $157,000-$232,000 USD Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!