Top Engineering Manager Jobs in Atlanta, GA

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

Lead and mentor engineering teams to build high-performance APIs and microservices while collaborating closely with product managers and stakeholders to implement scalable solutions.

Lead the Infrastructure team to enhance reliability, security, and scalability of systems, while collaborating cross-functionally and participating in hands-on technical tasks.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

The Project Manager oversees design services for Biopharma projects, ensuring adherence to project objectives, quality standards, and client satisfaction while managing budgets and schedules.

Oversee controls design, manage teams on cross-functional projects, and develop standards for data center controls systems.

Responsible for leading a team to ensure effective deployment of TFB products, focusing on strategic planning, financial discipline, and collaborative processes across engineering teams to enhance customer experiences and operational efficiency.

Lead the Client Engineering team to develop scalable data pipelines, manage a team of data engineers, and ensure successful client integrations using various data technologies.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Lead the infrastructure engineering team to design and build systems using Git, optimize large-scale data systems, and enhance internal tooling and security strategies.

The Engineering Manager will lead and support the engineering team, mentor engineers, maintain company culture, manage the roadmap, and collaborate cross-functionally while staying hands-on with development.

The Engineering Manager will lead a technical team of developers and QA professionals, oversee projects, establish best practices, and manage resources while ensuring high-quality software delivery.

Responsible for managing engineering teams, overseeing project development, and ensuring technical excellence within a collaborative environment.

Manage a team of senior engineers, oversee software delivery quality, lead product development using advanced technology, and collaborate with stakeholders.

Manage and lead a team of solutions engineers, drive pre-sales engagements, and improve customer adoption and satisfaction for Glean's platform.

The Cloud Cyber Security Specialist role involves securing AWS and Azure environments, ensuring compliance, mentoring team members, and developing governance frameworks.

The Engineering Manager - Data & ML will redesign and scale Underdog's data and ML platform, establishing best practices, leading a team, and collaborating with cross-functional teams to optimize data systems.

Lead and manage a distributed team of engineers developing Ubuntu Core, focusing on embedded Linux for IoT and other fields, ensuring timely delivery of software solutions and fostering a collaborative culture.

Lead the Data Pipelines and Integration team, fostering collaboration, driving project delivery, and championing customer-oriented engineering practices.

Leading the AI/ML team, mentoring data scientists and engineers, developing production-grade systems for cybersecurity, collaborating on architecture, and driving best practices for AI development.

Lead the Core Portal team, manage engineers, partner with Product, drive architecture, foster culture, and align with company goals.

The Engineering Manager will lead a team of full-stack developers, manage projects, mentor team members, and ensure technical alignment with product goals.

Lead a remote engineering team to develop Python and Golang micro-services for a global software distribution system, mentoring team members and collaborating with other engineering leaders to execute strategy and improve engineering practices.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.