Participate in Android and iOS app testing, including functional and regression testing. Design, execute, and review test cases; identify, track, and verify bug fixes; and collaborate with developers and product managers to resolve issues. Use AI tools to improve testing efficiency and coverage. This is a six-month, full-time early-career program requiring five days per week.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About Binance Accelerator Program
Binance Accelerator Program is a 6-months program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE
Who may apply
Current university students and recent graduates
Responsibilities:
- Participate in Binance APP testing, ensuring high-quality delivery across Android and iOS platforms.
- Understand business scenarios and technical design; design, develop, and execute test cases, and organize test case reviews.
- Execute functional and regression testing, identify and track bugs, and ensure timely fixes and delivery.
- Collaborate closely with developers and product managers to drive issues to resolution.
- Leverage AI tools to enhance testing efficiency and coverage.
Requirements:
- Undergraduate or postgraduate in Computer Science, Software Engineering, or a related field
- Solid understanding of software engineering and QA methodologies
- Familiar with Java and MySQL
- Strong analytical and troubleshooting skills, with good attention to detail and patience for APP testing
- Good communication and collaboration skills in a fast-paced environment
- Fast learner with a strong work ethic
- Able to commit full-time (5 days/week) for at least 6 months
- Familiarity with AI is a plus
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Similar Jobs
Artificial Intelligence • Fintech • Software • Automation
Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.
Top Skills:
Aws ServerlessFastapiLambdaPostgresPythonReact
Angel or VC Firm • Artificial Intelligence • Software
Provide high-level administrative support to a CEO of multiple early-stage tech startups: manage complex calendars across time zones, handle email, coordinate meetings and projects, maintain shared documents, track tasks and deadlines, assist with personal scheduling, streamline communication, and implement AI-driven workflow improvements.
Top Skills:
ChatgptGmailGoogle CalendarGoogle DocsGoogle SheetsJIRANotionSlackZoom
Angel or VC Firm • Artificial Intelligence • Software
Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.
Top Skills:
AIClinical Trial DataData PrivacyEhrGenomic DataGenomicsGxpHipaaIrbMachine LearningPhenotypic Data
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
