Top Software Engineer Jobs in Columbus, OH

Supports complex IBM Z security conversion and migration engagements by analyzing customer environments, executing conversions, troubleshooting failed jobs, and maintaining conversion tools. Develops and modifies REXX code, works with z/OS security managers and mainframe technologies, investigates access controls and security definitions, and collaborates with customers and technical teams. The role also contributes to engineering practices, source control, testing, documentation, and responsible use of AI-assisted tools.

Develop and support scalable Python services, APIs, and event-driven systems for digital freight pricing and booking. Build experimentation frameworks, AI-assisted pricing harnesses, validation guardrails, real-time platforms, and machine-learning integrations. Lead architecture decisions, ensure security and reliability, mentor engineers, and collaborate across product, operations, revenue management, data science, and engineering teams.

The Workday Integrations Consultant will implement Workday solutions, gather requirements, and deliver integration technologies, while managing teams and participating in training.

Design and build reusable backend platform services, libraries, frameworks, integrations, and AWS infrastructure abstractions. Establish reliability, security, observability, testing, compatibility, and deployment standards for consuming teams. Direct AI-agent implementation through specifications and contracts, review generated and human code, manage incidents, and drive production adoption of shared platform capabilities.

Lead the Admin Experience backend engineering team, setting technical direction for user access, account hierarchies, administration workflows, APIs, data models, and authorization. Recruit, coach, and develop engineers while partnering with Product and adjacent teams on roadmap planning. Balance feature delivery with production support, reliability, testing, observability, documentation, and secure operational practices for customer-facing SaaS services.

Provide hands-on technical leadership for backend services and APIs supporting account administration, authorization, tenant boundaries, account hierarchies, settings, roles, and audit logs. Lead architecture and implementation of complex changes, improve API quality, testing, security, observability, rollout practices, and production readiness. Partner across Product and Engineering, mentor engineers, influence technical direction, document tradeoffs, and diagnose complex production issues.

Build and ship full-stack healthcare software across frontend, APIs, and databases. Lead frontend migrations, performance improvements, production AI implementations, and end-to-end product development. Use AI-assisted workflows, prototype with patients and care teams, and deliver reliable, accessible, scalable systems. Own projects independently, collaborate with customers and internal teams, and establish reusable architecture and trustworthy automation for telehealth.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Design, develop, test, secure, and maintain enterprise applications and APIs using C# and modern .NET. Build database solutions, RESTful integrations, automated tests, and CI/CD pipelines while supporting Agile and DevSecOps delivery. Modernize legacy applications, troubleshoot production issues, conduct code and design reviews, and remediate security findings. The role requires an active DoD Secret clearance and U.S. citizenship and is remote within the United States during Pacific Standard Time hours.

Serve as a senior SQL Server DBA and trusted client advisor, focusing on performance tuning, cloud database architecture, automation, high availability, disaster recovery, capacity planning, and proactive risk management. Lead root-cause analysis, database migrations, deployment scripting, monitoring, reporting integrations, and service lifecycle planning across AWS and Azure. Build client relationships, guide technical strategy, and deliver reliable database services within defined service-level objectives.

Build and operate Nash’s go-to-market engineering system, including AI agents, CRM infrastructure, account data layers, paid and ABM automation, integrations, deliverability, observability, and production controls. The role owns Salesforce and connected systems, develops in Python or TypeScript, applies LLMs and MCP-style integrations, and measures success through pipeline, revenue, agent reliability, and data quality.