Top Software Engineer Jobs in Columbus, OH

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

The Senior Software Engineer, Payments will design and implement backend infrastructure for a blockchain-integrated banking platform, focusing on payment processing and operations.

As a Founding Fullstack Engineer at MathGPT, you will build and ship modern web applications using React and Typescript, focusing on creating user-friendly and efficient products.

As a Full Stack Engineer, you'll develop and maintain features, expand product lines, and explore AI applications in security infrastructure.

Seeking a Software Engineer responsible for designing and developing scalable software solutions, participating in Agile processes, and collaborating with teams.

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

As a Senior Backend Engineer, you will enhance Postscript's Fondue product by architecting scalable systems, driving decoupling, and implementing AI-first development practices while collaborating across teams.

The Amazon E-commerce Assistant will support e-commerce operations by managing Amazon accounts, optimizing listings, running PPC campaigns, and forecasting inventory. Ideal candidates are detail-oriented, proactive, and willing to learn new e-commerce systems.

Design, build, and operate shared backend services and APIs. Own full SDLC, define service boundaries and data models, ensure scalability and reuse, apply DDD and systems thinking, and use AI-assisted tools to accelerate development while maintaining maintainability.