Sr. Cloud Infrastructure Engineer
Serve RoboticsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 5+ years of software development experience building and operating scalable, fault-tolerant, distributed systems. Proficiency in Go, C/C++, Java, or another OOP language is required, along with experience in cloud technologies like AWS, Azure, or GCP and infrastructure-as-code tools such as Terraform or CloudFormation. Experience developing cloud infrastructure services, preferably with Kubernetes, cloud native edge or service mesh services with envoy and Istio, and leading large scope technical projects is essential. A strong understanding of network topologies, protocols, and security principles, as well as cloud security best practices, is necessary. Excellent communication, problem-solving, and debugging skills are also required.
The Senior Software Engineer will architect and build robust, scalable, and highly available distributed infrastructure, and develop a cloud-native platform on public cloud, automating cloud resource management. They will collaborate with core database development and security teams to produce the SaaS offering, and work on routing and traffic components to enhance service reliability and scalability. Responsibilities include systematically improving availability using best practices, designing and building security components and tooling, and improving infrastructure performance and cost efficiency.
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.