ClickHouse Solutions Engineer

Altinity is hiring a ClickHouse Solutions Engineer to help customers build and operate production ClickHouse applications. The role combines customer and community support with research and development, including investigating usage patterns, writing technical documentation, and contributing improvements to ClickHouse.

Responsibilities:

• Helping build production-grade systems based on ClickHouse: advise how to design schemas, plan clusters etc. Environments range from single node setups to clusters with 100s of nodes, including Altinity.Cloud, our managed ClickHouse service
• Working with the community – GitHub, Stack Overflow, Telegram
• Studying new usage patterns, ClickHouse functions, & integration with other products
• Writing tech articles – for Altinity blog and internal KB
• Working on infrastructure projects related to ClickHouse
• Improving ClickHouse itself – fixing bugs, improving docs, creating test-cases, etc
• Handling support calls from customers using ClickHouse. This includes diagnosing problems connecting to ClickHouse, designing applications, deploying/upgrading ClickHouse, and operations
• Support engineers need to be ace puzzle-solvers who can figure out what problem the user is encountering, diagnose root cause(s), and propose solutions
• Researching new technology, working on ClickHouse-related side projects, and fixing Clickhouse itself

Requirements:

• Experience with ClickHouse is a MUST!
• Expert SQL knowledge for one of: MySQL, PostgreSQL, Oracle, SQL Server
• Strong Linux shell skills / bash scripting skills
• Experience with running production-grade systems
• Technical English writing and speaking skills
• Docker/Kubernetes self-defense skills
• Basic knowledge of distributed system concepts and big data technology stacks
• Knowledge of at least one programming language (Python, C++, Java, Go)
• University degree (IT/math) or equivalent experience
• Kubernetes knowledge and operating experience
• Experience with big data stack components like Hadoop, Spark, Kafka, Nifi, …
• Experience with data science/data analysis
• Knowledge of SRE / DevOP stacks – monitoring/system management tools (Prometheus, Ansible, ELK, …)
• Version control using git