Top Software Engineer Jobs

The Big Data DevOps Lead will be responsible for improving Big Data infrastructure efficiency, coordinating cross-team initiatives, leading architecture efforts, ensuring system reliability, and managing operational tools and monitoring systems in cloud environments.

The role requires supporting clients' CRM needs from a database programming perspective, primarily using MySQL. Responsibilities include developing stored procedures, views, and functions, working in a Linux/Solaris environment, and collaborating effectively with team members. The candidate should demonstrate excellent coding standards, ownership, and the ability to handle high-volume applications with high availability.

The Platform Operations Engineer supports multiple applications in an Enterprise Hosted environment, providing escalation support, conducting upgrades, analyzing client requests, engineering solutions, and mentoring less experienced team members. The role involves monitoring system performance and ensuring adherence to operational standards.

The Software Engineer will design and implement core components for a marketing automation platform, address customer requests, ensure product quality through code reviews and testing, and fix bugs while enhancing the software. Strong programming skills and knowledge of databases are essential.

The Senior Software Engineer in the SDK team is responsible for understanding business requirements, designing and implementing mobile SDKs, ensuring high-quality code through reviews and tests, and fixing bugs. Strong knowledge of iOS and Android platforms is required, along with coding experience in Swift, Objective C, or Kotlin.

The Senior/Lead Software Engineer at Zeta Global will architect and build engineering frameworks for marketing technology products, collaborate on infrastructure solutions, develop CI/CD pipelines, and enhance a marketing automation platform. Responsibilities include optimizing application performance, conducting code reviews, and fixing issues while ensuring high product quality.

The Machine Learning Engineer will develop and deploy machine learning models, collaborate with cross-functional teams, and enhance data-driven decision-making within the company. Responsibilities include utilizing AWS services, containerization technologies, and managing workflows to create production-ready ML systems.