Top Tech Jobs & Startup Jobs

The Technical Lead will provide strategic and operational support to senior leaders, manage financial performance, and improve operational efficiency. Responsibilities include overseeing project initiatives, talent development, risk management, and communication across departments.

The ETL Developer role involves designing, developing, and improving software solutions for business operations. Responsibilities include writing scalable and maintainable code, collaborating cross-functionally, adhering to coding standards, and ensuring secure coding practices. The role focuses on utilizing industry-aligned programming languages and tools, contributing to technology communities, and maintaining software quality through unit testing and code reviews.

The Product Test Engineer will design and execute testing strategies, develop test plans and automated scripts, and collaborate with cross-functional teams to ensure software quality. The role involves defect analysis and continuous improvement of testing processes while promoting a culture of technical excellence.

The Senior Application Developer is responsible for designing and improving software solutions, ensuring high-quality code through collaboration with cross-functional teams. The role includes leading a team, advising on complex issues, promoting secure coding practices, and enhancing technical capabilities within the organization.

The Senior Developer will design, develop, and enhance software solutions to improve business capabilities. Responsibilities include delivering high-quality software, collaborating with cross-functional teams, ensuring scalable and secure code, and contributing to industry technology communities.

The Senior Java Developer will design, develop, and improve software solutions, ensuring high quality and adherence to secure coding. This role requires collaboration with cross-functional teams, code reviews, and staying updated on industry trends.

The Data Architect, AVP position involves building and maintaining systems for data collection, storage, processing, and analysis. Responsibilities include designing data architectures, collaborating with data scientists on machine learning models, managing teams, advising on decision-making, and ensuring compliance with security measures and risk management.