Top Front-End Developer Jobs in Jacksonville, FL

Seeking a Senior Android DevOps Engineer with deep experience in running Java/JVM workloads on AWS infrastructure. Responsible for building, improving, and optimizing Android developer CI/CD pipelines. Must have a passion for making software engineers efficient and productive. Experience with AWS, cloud networking, infrastructure-as-code, and JVM tuning preferred.

The Engineering Manager for AppArmor will lead a team of engineers in enhancing security features for Ubuntu, ensuring robust security measures, mentoring team members, and collaborating with stakeholders to address emerging threats.

As the Engineering Manager I, you will lead a team of engineers to develop a full-stack advertising platform. Responsibilities include mentoring engineers, designing scalable web APIs, conducting code reviews, collaborating with Product Managers on requirements, and overseeing team productivity.

This role involves developing scaleout solutions for AI technologies, collaborating with teams to define product offerings, understanding customer needs, and proving out solutions with hardware. Key responsibilities include creating orchestration software and being innovative within cross-functional teams.

The QA Analyst at TAG ensures the quality of web deliverables by performing various types of manual testing, documenting test cases, and communicating with the project management team about issues. They are involved in all phases of the project lifecycle and serve as a subject matter expert on assigned projects.

The Deployment Engineer at Armis is responsible for the rapid deployment of their platform, collaborating with the Customer Success team to ensure timely delivery and configuration aligned with client needs. This role includes providing expert support, conducting site surveys, and maintaining proficiency with Armis products to ensure maximum client satisfaction and security effectiveness.

As a Software Engineer focused on ML at Tavus, you will develop new features using computer vision and NLP models, take ownership of ML Ops tasks, and design experiments to enhance AI models while improving existing technical frameworks.