ClickHouse provides a fast, open-source columnar database and managed cloud service designed for real-time analytics, data warehousing, observability, and AI/ML workloads.
<div class="content-intro"><h3>About ClickHouse</h3> <p>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.</p> <p>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.</p> <p>We’re on a mission to transform how companies use data. Come be a part of our journey!</p></div><p>ClickHouse is expanding its cloud data platform across <strong>AWS, GCP, and Azure</strong>—adding new capabilities that connect and extend Postgres and ClickHouse for modern data workloads. We’re hiring a <strong>Senior SRE / Senior Infrastructure Engineer</strong> to own reliability, automation, and operations as these services scale globally.</p> <p>You’ll be at the center of how we run and evolve our next-generation data platform—building the automation, observability, and operational rigor that ensure a fast, secure, and dependable customer experience. This is a <strong>hands-on, high-impact role</strong> where you’ll write code, shape architecture, and enable the broader engineering team to deliver with confidence and velocity.</p> <hr> <h3><strong>What You’ll Do</strong></h3> <ul> <li><strong>Lead reliability and operations</strong> for ClickHouse’s Postgres integration — upgrades, patching, maintenance, and scaling.</li> <li><strong>Design and implement automation</strong> for provisioning, deployments, and service lifecycle management across AWS, GCP, and Azure.</li> <li><strong>Develop infrastructure-as-code</strong> using Terraform and modern CI/CD tooling to ensure consistent, repeatable deployments.</li> <li><strong>Contribute Go-based tooling and services</strong> that improve automation, observability, and developer experience.</li> <li><strong>Own observability and monitoring</strong>, ensuring robust alerting, metrics, and tracing across environments.</li> <li><strong>Drive incident management and postmortem practices</strong> that strengthen reliability and learning loops.</li> <li><strong>Collaborate cross-functionally</strong> with platform, networking, and product teams to improve service operability.</li> <li><strong>Mentor and enable engineers</strong>, helping the team scale effectively as customer adoption grows.</li> </ul> <hr> <h3><strong>About You</strong></h3> <ul> <li><strong>Experience:</strong> 7+ years in <strong>SRE, DevOps, or infrastructure engineering</strong>, with a track record of running distributed, production-grade systems.</li> <li><strong>Database Operations:</strong> Solid understanding of <strong>Postgres</strong> operations, scaling, and performance tuning.</li> <li><strong>Cloud Expertise:</strong> Deep hands-on experience across <strong>AWS</strong>, with exposure to <strong>GCP</strong> and <strong>Azure</strong>; comfortable navigating multi-cloud topologies.</li> <li><strong>Automation Skills:</strong> Proficient with <strong>Terraform</strong>, <strong>Kubernetes</strong>, and container-based infrastructure.</li> <li><strong>Programming:</strong> Strong <strong>Go</strong> development skills (or willingness to write and own production Go code).</li> <li><strong>Observability:</strong> Familiar with tools like <strong>Prometheus, Grafana, Loki, OpenTelemetry</strong>, or equivalents.</li> <li><strong>Reliability Focus:</strong> Deep understanding of SLOs, incident response, and continuous improvement in service reliability.</li> <li><strong>Mindset:</strong> You operate with a <strong>founder’s mentality</strong> — hands-on, resourceful, and willing to dive deep to get things done. You take pride in hard work, autonomy, and shipping impactful systems.</li> </ul> <hr> <h3><strong>Why Join Us</strong></h3> <ul> <li>Build and operate the foundation for ClickHouse’s <strong>Postgres integration / extension</strong>, spanning multiple CSPs.</li> <li>Work on a small, elite team where <strong>ownership, reliability, and speed</strong> are core values.</li> <li>Shape the operational practices and automation that will define how ClickHouse runs databases in the cloud.</li> <li>Write production code, influence architecture, and mentor others — all while scaling a high-impact platform from the ground up.</li> <li>Be part of a company redefining performance, simplicity, and developer experience in data infrastructure.</li> </ul> <p> </p> <p> </p> <p>#LI-remote</p><div class="content-pay-transparency"><div class="pay-input"><div class="title">The typical starting salary for this role in the US is</div><div class="pay-range"><span>$140,000</span><span class="divider">—</span><span>$208,000 USD</span></div></div><div class="pay-input"><div class="title">The typical starting salary for this role in US Premium Markets is</div><div class="pay-range"><span>$155,000</span><span class="divider">—</span><span>$230,000 USD</span></div></div></div><div class="content-conclusion"><h3><strong>Compensation</strong></h3> <p><span style="font-weight: 400;">For roles based in the <strong>United States</strong>, t</span>he 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.</p> <p class="p1">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 adj