Top Senior Java Developer Jobs in Columbus, OH

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.

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.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.

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 engineer responsible for designing, building, and operating secure, resilient, cloud-native services. Write and review production code, automate remediation and CI/CD pipelines, design event-driven systems with Kafka and Spring Boot, evaluate vendor solutions, mentor engineers, and partner with product stakeholders to deliver scalable technology.

Lead a globally distributed team to design, develop, and deliver resilient backend services and automation pipelines. Produce secure, high-quality Java Spring Boot code, troubleshoot systems, drive CI/CD and operational stability, and collaborate on architecture and product outcomes within a regulated enterprise.

Lead the architecture, development, and support of secure, scalable distributed applications for automotive financial services. Build and modernize microservices across AWS and hybrid environments using Java, Spring Boot, containers, databases, and messaging platforms. Drive code quality, resilience, automation, vendor evaluations, and engineering standards. Lead responsible adoption of AI-assisted development tools, coach engineers on secure validation practices, and collaborate with product and engineering stakeholders.

Lead hands-on engineer designing and modernizing cloud-native, reliable, and automated software solutions. Drive adoption of enterprise AI-assisted engineering practices, build automation frameworks, support performance and resiliency testing, lead code reviews, and communicate technical strategy and reliability standards across teams.

Lead full‑stack development and architecture for machine learning–enabled digital assistant products. Design and deliver Java/Spring backend services and React frontends, drive CI/CD and infrastructure automation, implement monitoring and resiliency, lead technical reviews, collaborate with product/design/ML partners, and evaluate third‑party integrations to meet security, scalability, and business objectives.

Lead development of distributed, cloud-native trading and portfolio systems using Java, Python, Spring Boot, Microservices and React. Drive secure, resilient CI/CD automation, AI-assisted engineering governance, code quality, and operational stability while mentoring and managing developers and evaluating vendor/architecture fit.

Lead design and delivery of scalable, low-latency Java backend services for liquidity trading. Partner with traders and stakeholders, drive engineering decisions, champion CI/CD and secure coding, improve observability using analytics and AI/ML, and mentor engineers to ensure reliable, production-ready systems.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions, build data pipelines (Databricks/Spark), drive CI/CD and automated testing, adopt AI-assisted engineering practices, mentor engineers, and collaborate with product and data teams to improve user experience and operational reliability.

Lead design and delivery of scalable Java microservices on AWS; architect cloud-native solutions; build Databricks/Spark data pipelines; drive CI/CD, automated testing, and operational stability; mentor engineers and govern enterprise AI-assisted development practices.

Lead hands-on development and mentor engineers to build secure, reliable data pipelines, APIs, and reporting for asset management. Own end-to-end delivery, participate in Agile ceremonies, drive automation, AI-assisted engineering practices, and improve operational stability.

Lead SRE/DevOps engineer responsible for designing and delivering resilient, scalable Branch systems. Collaborates with product, architecture, security, and operations to embed reliability best practices across the SDLC, write and review production Java/Python code, implement IaC on AWS, use observability tooling, drive CI/CD and automation, and lead engineering communities of practice.

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.

Lead architecture and delivery of cloud-native, scalable platforms that support product intake, collaboration, content publishing, and developer tooling. Own end-to-end initiatives, design GraphQL/REST APIs and React UIs, integrate with Jira/SCM systems, ensure security/resiliency/observability, mentor engineers, and drive cross-platform standards and AI-assisted engineering practices to improve developer productivity and platform quality.

Lead architecture and delivery of cloud-native, enterprise platforms. Design backend services, GraphQL/REST APIs and React UIs, ensure security, scalability, observability; mentor engineers; drive cross-team standards, integrations (Jira, Git providers), content pipelines, and adoption of AI-assisted engineering practices.

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.

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.

Lead and deliver secure, high-quality full-stack services: design, develop, test, deploy, and operate production workloads. Drive architecture decisions, reliability improvements, automation/CI-CD, and mentor engineers while partnering with product and stakeholders. Evaluate vendors/solutions and promote engineering best practices across teams.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions. Mentor engineers, improve CI/CD and testing, build Databricks/Spark data pipelines, apply event-driven patterns (Kafka), and govern enterprise AI-assisted development practices to ensure secure, resilient, and cost-effective production systems.