Top Remote Senior Level iOS Developer Jobs in Nashville, TN

Lead and mentor teams to develop and deploy data solutions using Palantir Foundry, ensuring project success and client satisfaction.

Lead the strategy, design, and delivery of enterprise data platforms. Guide global teams in building scalable solutions, focusing on data engineering, integrations, and analytics enablement.

The Senior Backend Engineer will develop cloud-based systems for cybersecurity, focusing on scalability and reliability, using languages like Go and Python. Collaboration and mentorship are key components.

As a Senior Data Engineer, you'll design and build scalable data solutions for AI/ML products, leading projects and engineering data pipelines, collaborating with cross-functional teams.

As a Senior Backend Engineer, you'll develop and enhance authentication strategies, improve access management, and ensure security for GitLab users, focusing on scalable solutions.

Design and implement support for new products, build services, collaborate with teams, and mentor team members in a dynamic setting.

As a Senior Software Engineer, you will design and implement scalable AI infrastructure, lead projects, mentor junior engineers, and solve complex technical challenges, leveraging modern cloud technologies and AI frameworks.

As a Software Engineer in the Bidding Intelligence group, you will design and implement scalable systems, build machine learning models, and collaborate with a team to optimize bidding decisions at scale.

The Staff Data Engineer will build and maintain data pipelines for ML models in a collaborative team, focusing on quality and scalability, within a remote work setting.

Lead and mentor a front-end team, developing responsive web functionality, enhancing ML operations, and managing technical solutions across digital platforms.

Lead the design and implementation of scalable systems, mentor engineers, and collaborate with product and AI teams to launch innovative features.

The Data Engineer will build and maintain data pipelines, contribute to architecture decisions, support data governance, and mentor peers, focusing on scalability and reliability.