Top Hybrid DevOps Jobs in Dallas-Fort Worth, TX

Lead Data Engineers will design, develop, and implement technical solutions using big data technologies and cloud services, collaborating within Agile teams.

This role involves designing and developing scalable Cloud-based solutions in Java, mentoring teams, and ensuring high-quality software delivery in finance risk management.

The role involves designing and maintaining databases, managing database performance, supporting database access, and developing procedures for maintenance and backup.

The Manager, Software Engineering will lead a team responsible for developing technical solutions, managing complex projects, and ensuring compliance with standards in a fast-paced agile environment.

The Senior Software Engineer will lead initiatives, design and implement software solutions, collaborate with teams, and support technology standards at Wells Fargo.

Lead the design and implementation of AI-driven operations for telecommunications, focusing on automation, cross-functional collaboration, and team management.

Lead complex projects in software engineering for insurance products, mentoring junior engineers, and focusing on customer-centric solutions in an Agile environment.

Lead the Salesforce development team to design and implement customized solutions, oversee project execution, mentor junior developers, and ensure code quality.

The Technology Engineer Sr. leads complex technology solutions and develops software components, ensuring compliance with standards while advising junior staff and managing quality deliverables.

Responsible for designing and developing scalable applications, developing APIs, managing CI/CD pipelines, and collaborating with network engineering and security teams.

The Director of Engineering for Android Platforms will lead teams, drive alignment with business goals, and ensure technical excellence in Android architecture.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.