At Cardo AI, we are on a mission to build the best technology empowered by AI algorithms for private market investments. Our engineers don’t just make things – we make things possible. We provide infrastructure, speed and precision to institutional investors, banks and credit originators in solving the most challenging and complex credit investment problems.

• Directing the QA team for comprehensive testing of application development and production releases
• Lead the Test Automation efforts by planning and constructing test scripts through the use of quality processes and methodologies for CardoAI products.
• Mentoring QA team members in effective testing strategies
• Develop end-to-end testing strategies.
• Define and track test metrics, including code coverage, quality, and performance.
• Execute testing efforts by delivering application and component releases.
• Coordinate and execute regression testing, test automation, performance testing, functionality, and usability testing.
• Determine and meet time estimates and schedules for testing efforts.
• Define test plans and entry/exit criteria.
• Develop, update, and maintain quality testing standards and procedures.
• Create test models (plans, data, and scripts), including test data.
• Optimize processes and methods to deliver quality work.
• Allocate test resources to application tests in a multi-test environment.
• Act independently to determine methods and procedures for new assignments.
• Make decisions that impact the team through regular consultation with senior management.

Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field. Exposure to Fintech is desirable.

• Performing test planning;
• Testing experience within Data Platforms, where user interaction is smaller compared to system operations.
• Performing systems testing cycles, including integration testing, functional testing, user acceptance testing (UAT), and regression testing;
• Identifying, prioritizing, and tracking defects/bugs using Jira;
• Utilizing Selenium or similar technologies for automation testing;
• Developing automation strategies and frameworks for cloud-based applications;

• Leading and mentoring testing teams to complete deliverables for clients;
• Software design and development using Python; Javascript; 
• Solid understanding of CI/CD frameworks, including Github Actions; ArgoCD; EKS Kubernetes Cluster.
• Azure DevOps test plan integrations and continuous integration testing pipelines.

We think Cardo AI is a great place to work – We’re a rapidly growing scale-up so it’s not perfect but:

🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterward.

📚 Learn and get promoted: Join us at the start of our journey – we’re growing quickly and believe in promoting from within. You can learn and grow your career here. We also provide a dedicated training development budget to help you grow.

💰 Competitive base salary + Performance based bonus paid every 6 months

🌟 Enjoy yourself: We give everyone a yearly welfare budget

🏠 Added bonus: Stock option plan.

🎉 Fun culture with regular socials and company retreats twice a year.

📨 Generous referral scheme

🍫 Free office fruits, water, and espresso coffee!

We help institutional investors and credit originators manage private debt investments through next-generation technology and data science. Our mission is to bring transparency, efficiency, and artificial intelligence to the world’s private fixed-income market. We are specialized in the alternative lending asset class, such as peer-to-peer lending, real estate crowdfunding, and invoice trading.

Private debt markets are challenging and fragmented. No common standards on asset classes and no trading protocol exist. Due diligence, data treatment, risk analysis, reporting, and monitoring require a lot of effort and expertise.

With Cardo AI technology and artificial intelligence algorithms, institutional investors will have one source of truth with standardized and normalized data, single deal transparency, a smart allocation system, portfolio creation functionality, reporting, and monitoring to external investors and regulatory bodies.