About WorkatoWorkato is the only integration and automation platform that is as simple as it is powerful and built to power the largest enterprises. It is a low-code/no-code platform, empowering any user (dev/non-dev) to work seamlessly across any apps and databases. We are proud to be named a leader and trusted by 7,000+ of the world's top brands. This is only the beginning.Why join us?Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. We also believe in balancing productivity with self-care, offering our employees a vibrant and dynamic work environment they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you!ResponsibilitiesAs a Staff Infrastructure Engineer, you will be responsible for deploying, scaling, and maintaining services at the core of the Workato Platform. You will work closely with Data Engineers and Developers as part of a small, flexible team and will have a direct impact on the modernization and maturation of the platform, including infrastructure architecture decisions. We are currently seeking a seasoned Senior Infrastructure Engineer specializing in databases to join our dynamic team within the Infrastructure Unit. Your key focus will involve constructing a robust global distributed platform capable of supporting all Workato components seamlessly. You will solve many non-standard tasks related to scaling and reliability of the services.RequirementsBS/MS degree in Computer Science, Engineering, or a related subject.8+ years of industry experience.Experience in building distributed systems.Linux skills in troubleshooting and identifying performance bottlenecks.ClickHouse administration experience, but ready to consider candidates with similar experience with different databases (PostgreSQL, Vertica, MongoDB, etc.).Understanding of network architecture, troubleshooting, and incident resolution skills in a production environment.Experience with containers and Kubernetes (installation and configuration of operators).Basic knowledge of one or more high-level programming languages, such as Python, Go, or Java.
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