Top Software Engineer Jobs in Columbus, OH

Build and operate integrations, data pipelines, SSO and rostering flows for large school districts. Work directly with district stakeholders to design, implement, customize, debug, launch, and stabilize production solutions. Develop full-stack features, migrate and reconcile sensitive data, add testing and observability, and convert recurring customer needs into reusable platform capabilities. Balance customer requirements with security, maintainability, and long-term platform health.

Develop and support Salesforce integrations connecting internal applications, vendors, and business partners. Build Apex, Lightning Web Components, Flow, and API-based solutions; design error handling, retries, reconciliation, monitoring, and documentation. Own integration delivery from scoping through ongoing support, reduce technical debt, improve performance and testability, and collaborate with technical and business stakeholders. The role supports merchant onboarding, transaction processing, billing, and payment-related workflows.

Design, build, and maintain secure, performant browser extensions for Chrome, Edge, and other browsers using Manifest V3 and modern APIs. Develop features integrating with web content, backend services, and endpoint agents; optimize reliability; monitor evolving browser standards; and participate in testing, code reviews, and process improvement. The role requires investigating third-party web applications, understanding extension security models, and coordinating effectively with backend and non-browser engineering teams.

Design, build, maintain, and scale production backend services and integrations. Debug cross-service production issues, lead architecture and technical decisions, mentor engineers, improve engineering standards and tooling, release backward-compatible APIs, implement auto-scaling services, and architect real-time systems for syncing large data volumes.

Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.

Build and maintain full‑stack TypeScript web applications, design RESTful APIs and microservices, optimize frontend and backend performance, write tests, participate across the development lifecycle, perform code reviews, and collaborate with product and design to ship scalable travel‑management features.

Lead engineering execution and organizational capability for a cloud-based PMS. Drive predictable delivery, platform reliability, modernization, AI-enabled developer productivity, standardized practices, and cross-business platform strategy while growing and developing engineering teams.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Design, implement, and support high-performance storage and query infrastructure handling billions of events. Independently scope and deliver complex projects, optimize query performance, improve reliability, participate in on-call rotations, define KPIs and SLOs, reduce operational toil, debug production issues, collaborate cross-functionally, and mentor engineers.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.