
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
🔥 12 hours ago
🇦🇺 Australia – Remote
💵 $147k - $238k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 7%
Where this job comes from
Posted on ClickHouse's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on ClickHouse's site. Checked 3 hours ago.

51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
• Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces within the ClickHouse Cloud platform • Create robust, scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and external/internal AI services • Implement and maintain integrations with the broader AI/ML ecosystem and standards • Integrate models into production systems with monitoring, versioning, observability, and evaluation • Participate in the daytime on-call rotation • Build responsive, intuitive user interfaces that make complex AI functionalities accessible to users of all technical backgrounds
• 5+ years of software engineering experience in production environments • Exposure to working directly with AI/ML technologies • Strong frontend skills with TypeScript/JavaScript and React • High level of ownership and ability to drive features from concept to production with minimal supervision • Ability to thrive in collaborative environments and communicate technical concepts to diverse stakeholders • Nice to have: experience integrating and deploying AI/ML models in production systems, including inference APIs and vector databases • Nice to have: familiarity with AWS, Azure, or GCP, particularly AI/ML deployment services • Nice to have: understanding of database systems and data processing pipelines; ClickHouse experience is a significant plus • Nice to have: experience building data-oriented interfaces and visualizations
• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites
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