Top Software Engineer Jobs in Columbus, OH

Principal Software Engineer responsible for designing and integrating full-stack solutions, leading Micro Frontend strategy, building AI-driven workflows, and improving distributed systems, data quality, reliability, security, and performance. The role provides technical leadership, mentors engineers, establishes engineering practices, and collaborates across product, design, platform, security, and data teams in an agile environment.

Leads development of internet-scale applications across the software development lifecycle. Builds secure, high-quality Java applications using Spring frameworks, relational databases, and SQL; reviews and debugs code; and ensures operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, and coaches engineering teams on secure usage. Collaborates with stakeholders in Agile environments and promotes automation, testing, reusable patterns, and continuous improvement.

Lead enterprise solution architecture across cloud-native, microservices, and event-driven systems using .NET and Python. Drive modernization, cloud migrations, containerization, and resilient API designs. Define AI architecture using LLMs, RAG, and agent frameworks, mentor teams, engage stakeholders, and create reusable patterns to improve scalability, security, and operational efficiency.

Leads development of Python-based automation for load balancer infrastructure, including provisioning, configuration, lifecycle management, API integrations, and infrastructure workflows. Builds reusable automation frameworks, translates manual procedures into code, and supports scalable, secure, maintainable systems. Collaborates with network and platform engineering teams on deployments, customer journeys, and infrastructure service APIs across enterprise and cloud environments.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Lead the technical roadmap for partner integrations across APIs, SDKs, and web experiences. Design and build scalable products, standardize external partner integrations, and deliver payment and data-sharing capabilities. Collaborate with Engineering, Product, Design, Infrastructure, Sales, Partner, and Customer Success teams while remaining hands-on. Drive architecture, code quality, delivery, stakeholder alignment, and technical strategy for high-impact fintech products.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.