Remote Mobile Software Engineer in Test (SDET) Specialist I Job at Jobgether
Brazil
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Job Overview
Jobgether is hiring a remote candidate for Mobile Software Engineer in Test (SDET) Specialist I. This is a full time position. Work location: Brazil.
The role typically involves technologies such as CI/CD, Kotlin, Swift, Java, AWS, REST.
Key Responsibilities
- Own and continuously evolve the mobile quality strategy, defining the appropriate balance of automated, exploratory, integration, and end-to-end testing across iOS and Android.
- Design, maintain, and improve scalable mobile automation frameworks using tools such as Appium, Espresso, XCUITest, and Maestro, while integrating automated testing into CI/CD workflows.
- Define testing strategies for mobile-specific scenarios, including application lifecycle events, deep and universal links, push notifications, operating system permissions, biometric authentication, complex gestures, accessibility, localization, and varying network conditions.
- Establish device and operating system coverage strategies using real-device platforms such as BrowserStack, Sauce Labs, AWS Device Farm, Firebase Test Lab, and TestMu Device Farm.
- Lead mobile release quality practices using tools such as Fastlane, Bitrise, App Center, TestFlight, and Google Play Console, while leveraging crash, performance, and observability signals to identify and reduce production risks.
- Operationalize AI-assisted and agentic mobile testing workflows to improve regression identification, test generation, execution, defect detection, and overall engineering efficiency while maintaining clear human validation standards.
- Establish measurable standards for AI-enabled testing, covering quality, accuracy, coverage, regression stability, defect detection, and appropriate delegation and validation boundaries.
- Partner with Engineering, Product, Platform, and related technical teams to refine requirements, troubleshoot device-specific issues, assess quality risks, and determine effective validation strategies.
- Improve QA methodologies, automation frameworks, documentation, quality metrics, and reusable testing practices to strengthen mobile quality across teams.
- Mentor and coach QA engineers in mobile automation, test design, quality engineering, AI-assisted workflows, and disciplined validation practices.
Required Skills
Primary Skills
- CI/CD
- Kotlin
- Swift
- Java
- AWS
- REST
Secondary Skills
- Android
- Artificial Intelligence (AI)
- Excel
- Firebase
- iOS
- Jira
Skills required for this role include CI/CD, Kotlin, Swift, and related tools for day-to-day development.
Job Details
- Employment Type: Full Time
- Location: Brazil
- Salary: $25000 – $40000 USD
Tech Stack
CI/CD, Kotlin, Swift, Java, AWS, REST, Android, Artificial Intelligence (AI), Excel, Firebase, iOS, Jira
Role details
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mobile Software Engineer in Test (SDET) Specialist I based in Brazil.
This role serves as a technical leader for quality across native iOS and Android applications, shaping how mobile quality is built and maintained at scale.
You will define comprehensive testing strategies, automation standards, and validation practices across the full mobile development and release lifecycle.
The position combines deep mobile QA expertise with strong technical judgment to solve complex challenges involving devices, operating systems, networks, and release environments.
You will also help advance AI-assisted and agentic testing workflows, establishing practical standards that improve regression efficiency, defect detection, and engineering velocity.
Working closely with Engineering, Product, Platform, and other technical teams, you will influence quality practices and help reduce production risk.
You will also mentor QA engineers, strengthen automation and quality engineering capabilities, and promote reusable practices across teams.
This is an opportunity to make a broad technical impact in a collaborative, fast-paced environment focused on delivering reliable mobile experiences.
Accountabilities:
Requirements:
- 8+ years of experience in quality assurance engineering, including significant hands-on experience testing native iOS and/or Android applications through both manual and automated approaches.
- Advanced experience with mobile automation frameworks such as Appium, Espresso, XCUITest, and Maestro.
- Proficiency working with Kotlin and/or Swift, combined with solid programming experience using languages and testing frameworks such as Java, TestNG, and JUnit.
- Experience defining device and operating system coverage strategies through real-device testing platforms such as BrowserStack, Sauce Labs, AWS Device Farm, Firebase Test Lab, or TestMu Device Farm.
- Strong experience with mobile CI/CD, release, and distribution tooling such as Fastlane, Bitrise, App Center, TestFlight, Google Play Console, GitLab, and GitHub.
- Proficiency with mobile debugging, profiling, crash reporting, and observability tools including adb, logcat, Xcode Instruments, Android Studio Profiler, Charles, Proxyman, Crashlytics, Sentry, and Datadog.
- Experience with bug tracking and test management platforms such as Jira and TestRail, together with a strong understanding of software development and QA methodologies.
- Hands-on experience with AI-assisted testing, AI testing platforms, or Model Context Protocol (MCP)-based test generation and execution, with sound judgment around reliability, validation, and human oversight.
- Proven ability to improve team efficiency or output quality through the strategic use of AI tools and automation.
- Bachelor’s degree in Computer Science, Engineering, or an equivalent combination of education and professional experience.
- Strong analytical and problem-solving abilities, with the capacity to identify root causes across complex mobile systems.
- Excellent written and verbal communication skills and the ability to influence technical and cross-functional stakeholders.
- A proactive ownership mindset and commitment to continuously improving product quality, engineering practices, and team effectiveness.
- Ability to thrive in fast-paced, collaborative environments involving complex and ambiguous technical challenges.
- Experience with mobile accessibility, localization, internationalization, or visual regression testing is an advantage.
- A broad or specialized technical background, combined with resilience, curiosity, and the ability to learn from scratch and operate effectively in ambiguous situations.
Benefits:
- Compensation starting at $6,400 USD per month.
- Paid holidays and flexible, take-as-needed scheduled time off.
- MacBook provided and ready from day one.
- $500 USD workspace stipend to help create an ideal home working environment.
- Equity participation in a rapidly growing startup backed by top-tier venture capital firms.
- A culture that encourages innovation and welcomes ideas and contributions from across the organization.
- Opportunities to work with passionate, collaborative, and globally distributed teams.
- Strong opportunities for professional growth, technical leadership, mentorship, and career development.
- An inclusive work environment committed to equal opportunity and supporting diverse perspectives.
- The position is based in Brazil and supports a distributed international working environment.
- Candidates should submit an updated resume translated into English to be considered for the role.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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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.