Top Senior Software Engineer Jobs in Columbus, OH

Develop and troubleshoot secure, high-quality enterprise software using Java, Spring, React or Angular, and Python. Design architectures, algorithms, data structures, and automated CI/CD pipelines; review and debug code; improve application stability, security, and performance; conduct testing; manage Git workflows; deliver through Agile methodologies; and lead vendor evaluations and software engineering communities of practice.

Lead and contribute to an Agile engineering team to design, build, and operate secure, scalable Java/Spring microservices in cloud environments. Drive architecture reviews, CI/CD and testing automation, adopt enterprise AI-assisted development practices, mentor engineers, and improve operational stability using streaming/messaging and container technologies.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead backend engineer responsible for designing, developing, testing, and operating secure, scalable production systems. Build RESTful APIs, automate CI/CD pipelines, improve application resiliency, evaluate vendor solutions, mentor engineering communities, and drive adoption of cloud-native and SRE practices across teams.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Designs, develops, debugs, optimizes, and validates firmware and system software for high-performance IoT platforms across Linux, Android, and real-time operating systems. The role involves embedded programming, automated and unit testing, multi-core architecture debugging, architectural collaboration, cross-disciplinary feature development, and cloud-based validation at scale.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Lead design, development, testing, and deployment of scalable microservices and responsive UI using Java/Spring and React/TypeScript. Drive architecture, standards, and cross-team initiatives, mentor engineers, integrate APIs (REST/GraphQL), employ event streaming and caching, and apply generative AI/LLM techniques to deliver enterprise solutions.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, databases, AI workflows, and predictive models. Collaborates with data scientists, data engineers, product managers, and stakeholders to build data pipelines, automate testing, support applications through their lifecycle, and reduce technical debt. The role includes API development, LLM orchestration, agent workflows, search systems, context engineering, observability, and agile solution delivery.

Lead an agile engineering team to design, build, and operate secure, scalable Java/React cloud-native applications on AWS. Drive adoption of AI-assisted development practices, evaluate vendor solutions, provide technical guidance, and ensure production quality, stability, and secure responsible AI usage across the SDLC.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

Lead UI architecture and design for responsive web applications; build reusable components with Angular/React/Vue and TypeScript/JavaScript; integrate UIs with RESTful microservices; enforce accessibility, security, testing, and CI/CD standards; mentor developers and collaborate with UX, backend, and DevOps teams in Agile environments.

Design and implement CIAM backend services for authentication and authorization. Integrate identity systems, manage secure flows, and automate infrastructure.

Provides hands-on technical leadership for the AWD-NF workflow and document-processing platform. Leads architecture, Java development, APIs, database integration, testing, deployments, production support, incident response, performance improvement, and DevSecOps automation. Establishes technical direction, mentors engineers and partners, supports modernization in AWS, improves observability and reliability, and drives secure, scalable integrations using technologies including Kafka and Apigee.

Develop, test, debug, document, deploy, and maintain full-stack software applications using Java, Spring Boot, .NET, Angular, and SQL. Build REST APIs, enhance legacy systems, apply secure software engineering and DevSecOps practices, troubleshoot independently, manage deliverables, and collaborate with business and technology partners. The role supports Nationwide’s Institutional Life Insurance technology team in a hybrid Columbus, Ohio environment.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Develops, tests, debugs, documents, deploys, and maintains secure software applications supporting Nationwide’s Retirement Solutions business. Participates in solution design and implementation, troubleshoots complex development issues, applies software engineering and DevSecOps practices, and manages project priorities and deliverables. The role uses Java, Angular, TypeScript, APIs, cloud-native platforms, Kubernetes, SQL, and secure coding practices within an Agile, collaborative team.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Lead the design, development, testing, and optimization of large-scale data pipelines and cloud-native data platforms. Build Python and PySpark applications, manage ETL workflows, Snowflake environments, data lakes, and AWS services, and promote secure engineering, CI/CD, automated testing, and responsible AI-assisted development. Mentor engineers, participate in code reviews, and lead technical delivery initiatives.

Leads software engineering for the Control-M orchestration platform, providing technical direction, developing and reviewing secure production code, and improving system design, functionality, operations, and stability. Drives responsible adoption of AI-assisted engineering practices, automation, governance, testing, and secure coding standards. Serves as a subject matter expert, supports enterprise frameworks, and collaborates with distributed teams, vendors, and stakeholders to modernize large-scale technology products.

Leads the design, development, testing, and optimization of large-scale data engineering solutions. Responsibilities include building Python and PySpark ETL pipelines, orchestrating workflows, developing AWS cloud-native services, managing data lakes and Snowflake environments, and implementing testing, CI/CD, and secure engineering practices. The role also promotes responsible AI-assisted development, mentors engineers, participates in code reviews, and drives technical delivery initiatives.

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

Design, implement, and maintain partner integration solutions; translate partner requirements into scalable technical implementations; troubleshoot and automate fixes; collaborate with product and engineering teams to improve tools and ensure successful partner onboarding and launches.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.