Top Software Engineer Jobs in Columbus, OH

Lead multiple engineering teams owning foundational services (identity, documents, payments, vehicle data). Grow managers and engineers, define strategy and roadmaps, ensure technical quality, compliance, operational readiness, cross-team collaboration, and financial sustainability of services.

Design, build, and maintain enterprise SQL Server databases for a DoD healthcare program. Implement schemas, complex queries, stored procedures, HA/clustering, replication, backups, disaster recovery, RMF security controls, performance tuning, and support ETL/data integration.

Design, develop, secure, and deploy high-scale resilient software and web applications. Participate in all SDLC phases, support cloud (AWS) deployments, resolve escalated support issues, and ensure compliance with corporate/security policies while working on global and government-targeted environments.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Design, develop, and maintain secure enterprise Power Platform and Dynamics 365 model-driven applications. Build custom web resources, Power Automate workflows, integrate with Azure services, manage ALM/solutions, use GitHub for version control, and provide tier-3 troubleshooting and documentation to deliver business value.

Lead ERP application development across the SDLC: gather requirements, design, code, test, and implement customizations, integrations, conversions, reports, and automated workflows. Apply functional knowledge in Finance, HR, Payroll, and Supply Chain and leverage cloud and enterprise application architectures to deliver solutions and implementation support.

Design and build scalable, production-ready workflow applications on a no-code platform. Translate customer requirements into integrations, AI-powered automations, data transformations, and reusable components. Troubleshoot complex workflows, collaborate with customers and architects, demonstrate solutions, and iterate through implementation, testing, and deployment.

Lead multiple Agile development teams to deliver enterprise software; own architecture and technical design; drive end-to-end delivery, mentor engineers, champion AI-first innovation, ensure release quality, partner with product, and improve operational excellence.

Lead backend architecture and development of scalable, secure microservices and data pipelines using Java, Python, and GCP. Integrate LLMs/AI, enforce application security, mentor engineers, run design reviews, and drive AI-assisted tooling adoption.

Lead technical execution and people management for multiple engineering pods (18 people). Set goals, shape roadmap with product and design, build scalable engineering processes, provide architectural oversight, drive technical excellence, and champion practical AI tooling adoption to improve developer velocity and product capability.