Top Remote Engineering Manager Jobs in Wichita, KS

The Data Engineering Manager will lead a team to enhance data processes, manage projects, and establish performance metrics while ensuring stakeholder alignment and team accountability.

The Manager of Engineering will lead the Tools team, manage multiple projects, drive quality improvements, oversee operations, and respond to customer escalations.

Lead a team of Data Engineers to design, develop, and maintain scalable data solutions, ensuring data integrity and performance across platforms.

As a Senior Engineering Manager, you'll lead teams delivering backend and frontend services, driving product strategy, mentoring engineers, and ensuring production reliability.

Lead and manage a distributed team of engineers in Sustaining Engineering, ensuring growth, performance, and customer-focused software solutions. Support timely delivery of technical solutions across various technology fields while promoting a collaborative culture.

Manage and develop a remote engineering team focused on building a high-quality private cloud infrastructure, fostering growth and collaboration.

Lead a distributed team of engineers overseeing Linux kernel delivery for Ubuntu, ensuring quality, security, and effective collaborative practices.

Lead and manage a team of Data Engineers, focusing on team growth and technical architecture. Oversee project delivery, ensure quality, and consult clients on data engineering strategies.

Lead product engineering squads to deliver a member management and billing platform, ensure software quality, mentor engineers, and drive recruitment efforts.

The Manager of AI Engineering will lead a team, drive AI initiatives, collaborate across departments, and ensure project delivery while mentoring engineers.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Lead and manage the KV Systems team, driving improvements in usability and reliability while developing talent and overseeing large-scale distributed systems.

Lead the Data Engineering team, manage data projects, optimize cloud platforms, ensure data governance, and mentor team members in a remote setting.

As a Software Engineering Senior Manager, you'll oversee product delivery across teams, lead technology transformation initiatives, manage end-to-end migration to a CCaaS platform, and ensure compliance with security and data regulations.

Lead and grow a team of backend engineers, drive technical excellence in data systems, and establish reliable engineering processes.

Lead the Report & Dashboard team to build data access and visualization layers, manage engineering teams, drive process improvements, and ensure high availability for reporting services.

Lead the Data Engineering team in designing and maintaining data pipelines, implementing CI/CD practices, ensuring data accuracy, and collaborating with stakeholders.

The Sr. Engineering Manager will lead an engineering team, focusing on cloud applications, team growth, and fostering a high-performance culture while leveraging AI in software development.

Lead and mentor a team to develop real-time API platforms, focusing on scalability and performance, while collaborating with cross-functional teams for platform advancement.

Manage a software engineering team in the Oncology domain, focusing on technical excellence, project delivery, and mentoring engineers while ensuring compliance and quality standards.

Lead software engineering teams, define technical roadmaps, and manage development for the e-commerce platform, balancing coding and leadership responsibilities.

Lead and develop a data engineering team, managing healthcare data integrations, ensuring quality and efficiency while collaborating with cross-functional teams.

Lead the Internal Engineering team at LearnLux, overseeing DevOps, AI platforms, data management, and security while mentoring engineers and enhancing system reliability and security practices.

Manage and grow a team of data engineers to build a scalable data platform processing large volumes of cost data, driving innovation, ensuring pipeline reliability, and bridging technical and business insights.

Lead multiple engineering teams, manage projects, drive technical strategy, mentor engineers, and ensure high-quality execution of scalable applications.