Top Java Developer Jobs in St. Louis, MO

As an Engineering Manager at Bombora, you will lead a team of engineers to manage the development of audience taxonomy and data delivery pipelines. Responsibilities include overseeing data systems architecture, collaborating with cross-functional teams, enforcing data governance best practices, and ensuring integration with exchange partners. You will also mentor the team and drive improvements in data processes.

As a Principal Support Engineer, you will lead technical support for Postgres databases, manage client relationships, prioritize issues, coach analytics teams, and troubleshoot database solutions, ensuring best practices are followed for data and AI analytics.

The Senior QA Automation Engineer will focus on automation and functional testing, working with product teams to ensure quality in product development. Responsibilities include executing tests, developing automation frameworks, configuring services, and troubleshooting issues in production environments.

As a Senior Software Engineer, you will design and develop innovative features for our risk management platform, participate in agile processes to improve efficiency, and explore new technologies. Collaborate closely with UX designers and product architects while ensuring code quality in a fast-paced environment.

As a Staff Software Engineer, you will lead the design and implementation of complex software systems for the Zeta Marketing Platform. Responsibilities include mentoring engineers, collaborating with cross-functional teams, and making strategic architectural decisions to ensure high-quality and scalable solutions.

The Site Reliability Engineering Senior Manager will define and implement the SRE strategy, collaborate with engineering teams to address reliability challenges, foster service ownership culture, build and lead an SRE team, and drive innovation through the development of reliability tools.

The Senior Machine Learning Engineer at Workiva will design and implement machine learning solutions, focusing on MLOps and software engineering best practices. Responsibilities include developing tools for ML infrastructure, mentoring team members, and delivering high-quality ML features. The role involves debugging, collaborating across teams, and maintaining a robust machine learning environment while ensuring service availability.