Job Description
ARE YOU INTERESTED IN JOINING AN INNOVATIVE LOGISTICS TECHNOLOGY COMPANY?
Loadsmart is a growth-stage technology company valued at over $1 billion (a true Tech Unicorn)!
We are a collection of industry veterans and user-centered engineers using innovative technology to fearlessly reinvent the future of freight by helping shippers, brokers, warehouses and carriers to move more with less.
With headquarters in Chicago and a globally distributed remote team, Loadsmart continues to attract top talent committed to driving meaningful change. We seek professionals who embody our core values: curiosity, clarity, results, commitment, and teamwork.
Loadsmart is seeking a skilled Senior QA Engineer to drive quality across our logistics ecosystem. In this role, you will focus on manual validation of complex edge cases and error states, ensuring continuous testing throughout the development cycle to identify issues beyond standard automated happy-path scenarios.
You will be instrumental in validating features for our OpenDock, YMS, and SmartGate solutions while actively contributing to the evolution of our internal automation frameworks to scale our testing capabilities.
DEPARTMENT: Engineering
LOCATION: Brazil (Remote)
WHAT YOU GET TO DO:
Maintain and extend Loadsmart’s test automation framework, adding automated coverage for the edge cases and failure modes you find during manual testing.
Manually test tickets as they are completed throughout the week, rather than only in the day or two before a release.
Design and execute test cases for edge cases, error states, and unhappy paths that go beyond the happy-path scenarios covered by automated tests.
Test features by entering invalid data, using unexpected sequences of actions, and exercising boundary conditions to find defects standard functional testing misses.
Use AI tools, including Claude, to speed up test case design, exploratory testing, and bug investigation.
Perform full regression testing ahead of each weekly release across web and mobile experiences, and write clear, reproducible bug reports that engineers can act on.
Flag edge cases and failure modes that engineers’ automated test suites missed, so coverage improves release over release.
REQUIRED QUALIFICATIONS:
Over 5 years of professional manual validation for web-based applications, with deep expertise in designing complex test scenarios for error states and edge cases.
Proven track record of identifying elusive defects by exercising boundary conditions, invalid data entries, and non-standard user workflows.
Adept at operating within high-velocity, weekly release environments, maintaining a consistent testing cadence throughout the entire development lifecycle.
Technical proficiency in scaling quality through the maintenance and extension of automation frameworks like Playwright, Cypress, or Selenium.
Hands-on experience leveraging AI-driven platforms, such as Claude, to optimize exploratory testing, bug analysis, and test case architecture.
Skilled in utilizing Jira or TestRail to document highly detailed, actionable, and reproducible defect reports that empower engineering teams.
Exceptional English communication abilities, essential for seamless daily collaboration with cross-functional teams in the US and Brazil.
WORKING AT LOADSMART:
• Competitive base salaries - we believe in rewarding top talent
• Extremely competitive Equity package - become a shareholder in our company!
• Loadie Time Off - PTO and sick days without a limit
At Loadsmart, we believe our biggest asset is our people. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. Loadsmart treats all candidates and employees with respect and does not discriminate in our recruiting, hiring, and promoting processes, including on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status, or disability.
It is the policy of Loadsmart that all offers of employment made shall be contingent upon successful completion of electronic background check(s). These checks will be job-related, consistent with business necessity and conducted by our vendor, pursuant to all applicable laws, rules, policies and procedures of our candidates’ specific locale.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
