About WorkatoWorkato makes the creation and implementation of automations 10X faster than traditional platforms. As the leader in AI-powered enterprise automation, we enable enterprises to automate their business processes across the organization by integrating their applications, data, and experiences.
Job DescriptionWorkato is the only integration and automation platform that is as simple as it is powerful — and because it's built to power the largest enterprises, it is quite powerful.
Simultaneously, it's a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.
We're proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.
Ultimately, 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.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits 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!
ResponsibilitiesWe are looking for an exceptional Load & Chaos Testing Engineer to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.
Perform load & chaos testing of complex heterogeneous Ruby/GOlang/Rust applications, as well as small self-contained GOlang microservices.Identify bottlenecks and bugs, and devise solutions to these problems.Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed.Help to validate and achieve 3x and 10x scalability milestones, which is roughly 100k rps.Help to validate and achieve HA with 99.995% uptime guarantees on generic AWS infrastructure (~ 99% uptime).Evaluate and propose improvements to existing systems.Advise on all phases of the development lifecycle.Help maintain application quality, organization, and automation.Explore new technologies and work with Rust and Wasm.RequirementsTechnical SkillsStrong experience with load, stress, and chaos testing tools like Gatling, Locust, Yandex Tank, JMeter, Chaos Monkey, etc.Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.Understanding of deploying in Kubernetes, network protocols and stacks, and DB technologies: both classic databases and modern no-SQL.Experience with testing and scaling distributed, highly available systems.BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.OptionalBackground in Go, Ruby / Ruby on Rails and/or Rust.Background in network programming.Background in application, data security.Experience of working with third-party REST APIs at scale (request throttling, batch processing, etc).Other requirementsReadiness to work remotely with teams distributed across the world and timezones.
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