Fullstack Engineer, Mobile Observability
LaunchDarklyFull Time
Junior (1 to 2 years)
Candidates should possess at least 5 years of software engineering experience, with a strong preference for experience in building developer tools. Required technical skills include proficiency in TypeScript and Node.js (specifically Next.js for frontend and Express for backend), expertise in at least one major front-end framework like React, Vue.js, or Angular, and proficiency in SQL for querying ClickHouse. Experience with Docker and Kubernetes is also necessary, along with a demonstrated passion for open source and the developer community, and a keen eye for designing developer tools. Bonus points are awarded for expertise in distributed systems, event ingestion pipelines, familiarity with languages like Python, Rust, or PHP, and experience with SDKs.
The Senior Full Stack Engineer will be responsible for shaping the product by owning and building key features for the HyperDX platform, with a focus on both frontend and backend systems. This role involves engaging with the open-source community and customers to solve their challenges and incorporate their feedback into the product roadmap. A significant part of the responsibility includes tackling technical challenges to optimize HyperDX for processing petabytes of observability data efficiently, developing groundbreaking analysis tools, and scaling the cloud-hosted platform to meet the demands of a growing user base.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.