Top Software Engineer Jobs
The Data Engineer II will develop and maintain ad-tech related data systems, focusing on data streaming, transformation, and ETL pipelines. Involvement in the entire SDLC is required, with collaboration across teams to ensure integrated and well-tested systems.
As a Staff Software Quality Engineer, you will enhance test efficiency using automation tools, work with cross-functional teams to understand product requirements, maintain test infrastructures, oversee test integration in AWS using containerization, and mentor junior engineers to foster innovation and quality throughout the software development lifecycle.
As a Technical Account Manager at adMarketplace, you'll manage post-sales technical strategies, oversee integration processes, provide technical support and guidance to partners, and optimize integration performance while acting as an advisor to customers on aligning technical solutions with their requirements.
The Manager - AI/ML Engineering will develop and execute strategies for machine learning applications, lead a team, align AI/ML projects with business goals, and promote best practices. The role requires a hands-on leader to mentor and guide the team while building partnerships across the organization for effective integration of AI/ML models.
As a Staff Software Engineer, you will lead the design and development of high volume, low latency systems in ad technology. You will collaborate with cross-functional teams, tackle complex technical challenges, mentor engineers, and continuously improve system architecture, focused on scalable and resilient solutions.
The Senior Software Engineer will design, develop, and manage low latency, high-volume systems. Responsibilities include leading technical innovation, mentoring junior engineers, collaborating with cross-functional teams, and continuously researching new technologies to improve the system.
The Senior Data Engineer at adMarketplace will develop and maintain ad-tech related data systems, cloud migration projects, and build data pipelines. They will work on data streaming, processing, and aggregation solutions, while collaborating with various teams to translate business requirements into technical solutions, ensuring low latency and large-scale systems functionality.
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