Top Software Engineer Jobs in New York City, NY

As a QA Analyst at Mobot, you will perform manual and automated tests for mobile applications, document findings, assist the Customer Success team, and collaborate cross-functionally with the engineering team. The role emphasizes attention to detail and effective communication to report bugs and improve internal products.

The Senior Engineering Manager will lead multiple engineering teams, define roadmaps, drive project planning, ensure high quality execution, mentor engineers, and implement process improvements for the online store experience at Bombas.

The Senior Salesforce Developer will design technical architecture solutions for Salesforce, ensure secure delivery of solutions, lead evaluation of new technologies, provide technical oversight, and guide development teams in best practices and standards.

The IT Engineering Manager will develop and execute the IT strategy for the Americas, oversee IT operations, drive digital transformation, enhance operational efficiency, manage cybersecurity measures, lead a high-performing IT team, evaluate technology vendors, and manage the IT budget.

As a Senior Sales Engineer at Dashlane, you will support technical sales and implementation of Dashlane's business product. Your role includes collaborating with sales and customer success teams, assisting clients with product integration, conducting demos, and driving technology evaluations for prospects. You'll also create technical documentation and maintain industry expertise to align customer goals with Dashlane solutions.

As a Senior Data Engineer at Aircall, you will design and maintain the data infrastructure, implement data management best practices, lead data pipeline development, mentor junior team members, and collaborate with various teams to optimize data processing and storage practices, ensuring high data quality and regulatory compliance.

The Senior Full Stack Software Engineer will own significant projects, focusing on building and iterating 85% of their time, while spending the remaining time collaborating with the team. Responsibilities include leveraging AI technology, fine-tuning algorithms, and making architectural decisions to support scaling, all aimed at improving client health and wellness outcomes.