Top Software Engineer Jobs in Columbus, OH

Leads software engineering within JPMorganChase’s Legal Technology Data Management team. Provides technical direction, develops and reviews secure production code, resolves complex design and functionality challenges, and influences application architecture and operations. Drives responsible adoption of AI-assisted engineering tools, establishes validation and security standards, promotes automation, and serves as a subject-matter expert and advocate for firmwide SDLC practices.

Leads a software engineering team that develops reusable architecture assets, standards, fitness functions, and engineering frameworks. Sets team strategy, promotes AI-enabled and cloud-native practices, supports CI/CD and infrastructure as code, evaluates technologies, and drives architecture adoption across engineering teams. Partners with product, architecture, business, and technology stakeholders; manages delivery quality, removes obstacles, coaches engineers, conducts performance reviews, and builds a high-trust culture.

Leads engineering teams modernizing banker-facing servicing platforms using cloud, APIs, automation, DevOps, and AI-native practices. Provides technical leadership in architecture, code quality, resiliency, scalability, and complex problem solving while managing delivery, resources, risk, and third-party partnerships. Champions AI-assisted and agentic engineering across the software development lifecycle and partners with product and architecture leaders in a global, hybrid environment.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

Designs, develops, tests, and maintains software, APIs, integrations, and automation for Managed Services applications and platforms. Builds Python, Ansible, and Go solutions; supports enterprise application lifecycles; troubleshoots distributed systems; develops CI/CD pipelines; and improves operational efficiency. Provides technical leadership through architecture and code reviews, engineering standards, mentoring, documentation, and cross-functional collaboration with SRE, infrastructure, security, operations, and business teams.

Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Build and own integrations and data pipelines connecting healthcare and insurance systems. Develop reliable systems for claims, bills, EOBs, coverage data, portals, webhooks, and inbound files. Normalize and protect PHI, improve observability and data quality, set technical direction, mentor engineers, and use AI-native development practices.