Top Tech Jobs & Startup Jobs

Lead experience design for complex aviation engineering software: conduct UX research, design wireframes, user flows, high-fidelity Figma interfaces and prototypes, work with data-heavy interfaces (AG Grid), collaborate with developers, maintain design systems, and mentor junior designers.

Coordinate immigration processes for international employees, manage documentation, support employment changes, and ensure compliance with laws.

The Solution Business Analyst will work in pre-sales, define product vision, manage BA activities, analyze business domains, and foster client collaborations.

Design, develop, execute, and maintain automated test scripts and frameworks for a web-based financial advisor platform. Create scalable automation solutions, develop test plans and regression suites, analyze test results, debug defects, integrate automated testing into CI/CD, track defects through the SDLC, and collaborate with developers and product owners in Agile/Scrum to improve quality and testing processes.

Maintain and archive personnel and military records per legislation; register hires, transfers, and dismissals; manage personal files and payroll data entry; prepare documents for social benefits and state authorities; issue personnel certificates and reports.

Lead Android development using cross-platform Kotlin, contribute to architecture and code reviews, provide technical leadership, identify and fix app issues, and support the team in troubleshooting.

The Talent Sourcer will identify and engage top technical talent, develop sourcing strategies, and build high-quality talent pipelines for the Talent Acquisition team.

The Senior Automation Test Engineer will develop automation scripts, perform tests, analyze results, and ensure quality in a financial platform project.

The Middle Java Developer will implement solution code, write reusable code, create documentation, and address technical issues in a financial project.

Develop and improve data-driven models for forecasting, optimization, and operational insights while analyzing large datasets and building ML models. Present insights to stakeholders and ensure models are production-ready.