support engineer for analytical databases

ClickHouse develops an open-source, real-time analytical database used by more than 4,000 companies, including Anthropic, OpenAI, Tesla, and Meta. Its consulting function helps customers migrate, integrate, and validate ClickHouse on real workloads, while its Support Services team provides customer support.

*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

• Turn customer goals into scoped projects with measurable success criteria, sizing, and timelines
• Design target architectures and validate them against customer data through schema and engine design, capacity planning, sizing, and proofs of concept
• Implement pipelines, integrations, migrations, tooling, and automation
• Benchmark workloads and conduct load and functional testing, then support cutovers
• Tune production workloads and hand over projects with engagement reports and knowledge transfer
• Handle L1–L3 cases alongside support engineers between projects
• Share field insights with Product and Engineering and create reference architectures, knowledge base articles, and blog posts
• Work with the Pre-sales team to ensure demos and POCs are credible in production

• 5+ Years delivering hands-on technical work for customers in roles such as consultant, professional services engineer, solutions architect, senior support engineer, or SRE
• Deep knowledge of analytical, transactional, or relational databases
• Hands-on SQL skills, including writing complex queries from scratch and tuning and debugging them
• Experience owning implementations, migrations, or POCs for external customers from start to finish
• Hands-on experience with AWS, GCP, and/or Azure
• Experience deploying and running workloads on Kubernetes
• Experience running distributed systems, such as distributed databases, in production
• Ability to provide precise technical answers and explain them clearly
• Fluent English
• Будет плюсом: ClickHouse, Splunk, migrating analytical workloads from PostgreSQL, Snowflake, BigQuery, or Elastic, Terraform, data pipelines and streaming with Kafka, Kinesis, Spark, or Debezium, Python, Bash, or Go, involvement in open source as a user, contributor, or community member

• Travel to customer sites up to 35% of the time, depending on the project
• On-call rotation about one week per quarter, with time off in lieu if paged at a weekend
• Employer contributions toward healthcare
• Stock options for every new team member
• Flexible time off in the US and generous entitlement in other countries
• USD$500 home office setup for remote employees
• Opportunities to engage with colleagues at company-wide offsites