QA Automation Engineer

🔥 33 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 15%

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Skydropx LATAM

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📦 Logistics

🔌 API

🛍️ eCommerce

💰 Accelerator/Incubator on 2025-03

Logistics • API • eCommerce

Skydropx LATAM is a Latin America–focused logistics technology company that provides shipping, fulfillment and courier-aggregation services to e-commerce businesses. It offers developer-friendly integrations (APIs) and platform tools that let merchants compare rates, create and manage shipments, track packages, and connect to multiple carriers across the region. Skydropx positions itself as a tech-enabled logistics partner for online retailers and businesses needing cross-carrier shipping solutions in LATAM.

📋 Description

• Ensure quality throughout the entire development lifecycle, from definition and refinement through production validation. • Participate in refinements, handoffs, and functional and technical definition sessions, identifying risks, ambiguities, dependencies, and quality gaps. • Analyze PRDs, Epics, User Stories, acceptance criteria, Figma designs, and technical documentation. • Transform requirements into clear, prioritized, traceable, and sustainable test strategies and scenarios. • Identify positive, negative, alternative, edge-case, integration, and risk scenarios. • Define validation strategies based on risk and impact, selecting manual, automated, or hybrid testing approaches. • Develop, maintain, and evolve automated UI and API tests. • Contribute to the architecture and best practices of automation frameworks. • Conduct automation code reviews and assess Pull Requests and technical changes. • Ensure Smoke, Sanity, and Regression testing strategies. • Investigate and reduce flaky tests. • Integrate and monitor automated tests in CI/CD pipelines. • Follow initiatives through to production, including Feature Flags, integrations, configurations, and dependencies. • Support production incidents through troubleshooting, root cause analysis, and preventive actions. • Use logs, metrics, and observability tools for diagnosis. • Use AI tools with critical review and protection of sensitive information. • Contribute to the management of Quality Debt and Automation Debt. • Track quality and engineering metrics and identify continuous improvement opportunities. • Provide technical support to Junior and Mid-Level QA professionals. • Communicate risks, impacts, blockers, and recommendations to Product, Engineering, and stakeholders. • Work autonomously and collaboratively, balancing quality, risk, speed, and business needs.

🎯 Requirements

• Solid experience as a QA Engineer, Quality Engineer, or in similar roles, working on software products in agile development environments. • Experience in requirements analysis and Test Design, transforming functional and technical documentation into test flows and scenarios. • Ability to interpret PRDs, Epics, User Stories, acceptance criteria, Figma designs, and technical documentation. • Experience defining and prioritizing positive, negative, alternative, edge-case, and integration scenarios. • Strong knowledge and hands-on experience with BDD and Gherkin, including Features, Scenarios, Scenario Outlines, and the Given/When/Then structure. • Experience with test automation, including UI and API automation. • Experience developing and validating REST APIs, HTTP methods, status codes, headers, payloads, authentication, and contracts. • Knowledge of architecture and best practices for automation frameworks. • Knowledge of software engineering principles applied to automation, including reuse, abstraction, and separation of responsibilities. • Experience with Git, Pull Requests, branching, and code review. • Experience with databases and SQL queries. • Experience with CI/CD and running automated tests in pipelines. • Ability to investigate automation failures and identify flaky tests, environment issues, data problems, or product defects. • Knowledge of Smoke, Sanity, and Regression testing strategies. • Knowledge of distributed systems, APIs, integrations, and microservices. • Ability to interpret logs and use observability tools. • Knowledge of the software development lifecycle, from refinement through production. • Knowledge of agile methodologies, especially Scrum and Kanban. • Experience participating in refinements, estimations, planning, and initiative tracking. • Knowledge and experience with quality and engineering metrics, including Defect Escape Rate, automation coverage, suite stability, Flaky Rate, rework, Lead Time, and Cycle Time. • Knowledge of DORA Metrics. • Organization, autonomy, prioritization, and strong communication skills. • Nice to have: TypeScript, C#/.NET, Playwright, Selenium, Cypress, GCP/AWS, Docker, Kubernetes, Kafka, RabbitMQ, Redis, API Gateway, performance testing, contract testing, observability, SRE, security, and AI tools.

🏖️ Benefits

• 100% remote work model • International environment

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