Top Remote Engineering Manager Jobs in San Antonio, TX

Lead a team of systems engineers focusing on cloud service providers, manage technical relationships, and drive solutions within CSP environments.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

Lead a senior engineering team managing AWS cloud infrastructure and building the development platform on Kubernetes, ensuring high performance and operational excellence.

Lead and manage an engineering team focused on advertiser growth for Reddit's SMBs. Collaborate with cross-functional teams to develop and enhance ad products.

Manage the Infrastructure team, balancing technical leadership and people management while overseeing impactful platform changes and fostering a collaborative engineering culture.

The Test Engineering Manager will lead a team of engineers to develop and execute DO-178C-compliant test strategies, ensuring quality and compliance in aerospace and defense programs.

Lead a team of engineers to deliver innovative search, mapping, and navigation solutions, ensuring operational excellence and growth of team capabilities.

The Engineering Manager will lead and coach engineers in cloud programming, manage projects, and foster community engagement at Pulumi.

As an Engineering Manager, you'll lead a team of engineers, ensuring high-quality solutions, driving innovation, and fostering collaboration across departments while supporting career growth.

Lead and manage a team of engineers, ensuring delivery of reliable systems while fostering collaboration across departments and career growth for engineers.

Lead and optimize the developer experience at Ensemble Health Partners by managing tools, driving AI adoption, mentoring the SRE team, and promoting engineering excellence.

Lead the Platform Engineering team to design, build, and manage internal tooling and shared platforms, enhancing development productivity and system reliability.

Lead the Database Integrations team to design and scale pipelines connecting ClickHouse with major data systems, ensuring operational excellence and customer satisfaction.

Lead and mentor a research team focused on vulnerability detection and asset management while contributing to technical development and research efforts.

Lead and mentor the engineering team, overseeing design and development of applications using Python/Django for backend and React for frontend, while managing CI/CD and AWS infrastructure.

Lead the CS Data Services team, drive adoption of data services, mentor engineers, and collaborate on cross-functional projects to improve system reliability and performance.

Lead and manage a team of engineers to develop AI-driven revenue cycle management solutions, collaborating across functions to ensure successful product delivery.

Lead and manage a team of analytics engineers, develop data modeling strategies, and ensure data quality while fostering collaboration across functions.

Oversee design, deployment, and maintenance of infrastructure, leading DevOps teams, managing CI/CD pipelines, and driving strategic initiatives in cloud technologies and automation.

Lead and manage the Expense Optimization Data Engineering team, focusing on building data models and solutions to optimize company expenses through enhanced data visibility and analytics.

The Manager, Engineering will oversee developers, manage agile practices, ensure API availability, and provide technical expertise in a hands-on role.

The Engineering Manager, Data will lead a team in building and maintaining scalable data infrastructure, ensuring data quality and compliance while collaborating with cross-functional stakeholders.

This role involves leading cloud engineering strategies, managing a team, delivering cloud solutions, and collaborating across departments to enhance cloud capabilities.

Lead engineering teams in building and optimizing cloud-native infrastructure solutions, focusing on Kubernetes orchestration, operational excellence, and compliance.

Lead a team of engineers to develop AI and data products for optimizing guest and host applications, ensuring delivery of high-quality machine learning initiatives.