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Hubs.is

Remote Job Openings at Hubs.is (9)

Senior QA Lead

Argentina, Brazil, Spain, United States, Uruguay 5-10 yrs exp Others

Define and execute a comprehensive QA strategy focused on reliability, scalability, and performance for an AI automation platform. Build automation frameworks and partner with engineering and product teams to ensure production-ready software delivery.

Senior Backend Engineer

Brazil 5-10 yrs exp Software Development

Define and execute a comprehensive QA strategy focused on reliability, scalability, and performance for an AI automation platform. Build automation frameworks and monitor production health to ensure the system is resilient and production-ready.

Senior Frontend UX Engineer

United States 5-10 yrs exp Software Development

Lead the end-to-end implementation of user-facing features for a visual AI canvas, translating design concepts into performant experiences. Collaborate with the UX design council and backend teams to refine complex interactions and establish frontend best practices.

Product Intern - Fall

United States 0-2 yrs exp Others

The intern will work with founders to shape and validate an AI product by analyzing user feedback and product data. They will also support the implementation and configuration of solutions for early customers.

Senior QA Lead

United States 5-10 yrs exp Others

The Senior QA Lead will define and execute a comprehensive quality strategy focusing on reliability, scalability, and performance for an AI automation platform. This includes building automation frameworks, managing system risks, and collaborating with engineering to ensure production-ready software.

Senior Frontend UX Engineer

United States 5-10 yrs exp Software Development

Lead the end-to-end implementation of user-facing features for a visual AI canvas. Collaborate with the design council and backend teams to create polished, performant, and intuitive user experiences.

Senior Backend Engineer

United States 5-10 yrs exp Software Development

Lead the design and optimization of backend services and distributed systems to support real-time AI automation workloads. Focus on building a reactive programming architecture and scalable infrastructure to ensure system performance and reliability.