Top Hybrid Software Engineer Jobs in Columbus, OH

The Principal Engineer will guide engineering solutions, lead teams, enhance operations, and mentor engineers while supporting observability and automation in core banking technology.

Design, develop, and implement AI applications; integrate LLM models; maintain large scale applications; troubleshoot complex issues; mentor others.

The Engineering Manager will lead software innovation, manage cross-functional teams, oversee project execution, and mentor junior talent to enhance software solutions and client relationships.

Lead engineering and program management efforts for software solutions, mentor teams, oversee project planning, and ensure client satisfaction.

The Senior Software Engineer will develop software solutions, improve client experiences, mentor junior engineers, and work in an agile team, focusing on complex technical issues.

As a Solutions Engineer, you'll support the sales team by demonstrating Dynatrace's observability solutions, managing POCs, and collaborating with customers and internal teams.

The Senior Application Architect leads software architecture design across cloud and on-premises systems, ensures scalable integrations with Oracle EBS, mentors teams, and drives technical decisions while maintaining security and performance standards.

Design and lead architecture for policy administration systems in U.S. insurance, manage software projects, and mentor engineers.

The Senior Technology Manager leads technology strategy for AI-enabled products, mentors teams, and drives cloud-native innovation aligned with business goals.

The SAP EAM Technical Lead oversees the implementation of SAP EAM solutions, managing technical teams and ensuring master data governance while optimizing asset management.

Lead the design and implementation of scalable ecommerce platforms for global brands using SAP Commerce Cloud (Hybris), mentoring junior developers and collaborating with cross-functional teams.

As a Senior Data Engineer, you will design ETL pipelines, optimize data infrastructure on Snowflake, and ensure data quality through robust frameworks and testing. Collaboration with stakeholders is key to enhance analytics and improve data-driven decision-making.