Technical Customer Support Engineer, AI Infrastructure & Observability

🔥 0 minutes ago

🇸🇪 Sweden – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 IT Support

👻 Ghost score 25%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of ClickHouse

ClickHouse

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.

📋 Description

• Support and guide ClickHouse and Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls • Deliver high-touch guidance within required SLAs as part of a global on-call coverage rotation • Develop solutions based on ClickHouse Cloud and ClickHouse open-source for documentation, knowledge bases, blogs, meetups, webinars, and training • Collaborate with global Support Services, Engineering, Go-to-Market, and Product Management teams to define required functionality • Mentor, train, and share knowledge with colleagues, users, and customers • Escalate bugs to product engineering and close the loop with customers after fixes ship • Work through deep technical integration and implementation questions directly in customer codebases • Build trusted relationships with colleagues, customers, and developer-ecosystem partners

🎯 Requirements

• Hands-on experience with databases, OLAP, or distributed systems, including ClickHouse, SQL engines, or cloud-native SaaS infrastructure • Strong software engineering fundamentals through CS, Data Science degree, or comparable hands-on project experience • Comfort reading code • Experience working with data pipelines such as Kafka or Spark, or debugging cloud infrastructure such as AWS, GCP, or Azure • Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication • Hands-on experience building, debugging, or evaluating LLM-powered products • Experience with Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK • Familiarity with LLM observability/evaluation tooling, prompt workflows, model provider APIs such as OpenAI or Anthropic, or OpenTelemetry-style tracing • Strong written communication across registers • Experience with OSS and open-source technologies, ClickHouse, Langfuse or LLM observability/eval tooling, AWS/GCP/Azure, or Kafka/Kinesis/Spark/RabbitMQ are bonus points

🏖️ Benefits

• Flexible work environment; ClickHouse is globally distributed and remote-friendly • Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US; generous entitlement in other countries • $500 home office setup for remote employees • Opportunities to engage with colleagues at company-wide offsites

Apply Now