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. Experience with Go, C/C++, Java, or another OOP language is required, along with expertise 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 (Envoy, Istio), and leading large technical projects is also essential. A strong understanding of network topologies, protocols, security principles, and cloud security best practices is necessary, as are excellent communication, problem-solving, and debugging skills.
The Senior Software Engineer will architect and build robust, scalable, and highly available distributed infrastructure, creating a cloud-native platform on public cloud and automating cloud resource management. Responsibilities include working closely with core database development and security teams to produce the SaaS offering, improving the reliability and scalability of cloud services through routing and traffic components, and systematically improving availability using best practices. The role also involves designing and building security components and tooling, such as firewalls and PKI infrastructure, and enhancing the performance and cost efficiency of the infrastructure.
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.