Top Senior Java Developer Jobs in Columbus, OH

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.

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.

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 design, build, test, and operate Java-based microservices and backend APIs. Drive adoption of enterprise AI-assisted engineering practices, own DevOps/CI-CD pipelines (Jenkins, Spinnaker), enforce testing and observability standards, evaluate vendor solutions, and ensure production resiliency, security, and operational readiness in cloud/private cloud environments.

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 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.

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 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 and coach full-stack teams building React-based web experiences and supporting APIs. Set technical direction, improve engineering quality, CI/CD and operational resilience, oversee API design, modernize delivery pipelines, and guide responsible adoption of enterprise AI-assisted development practices.

Lead an agile engineering team to design, develop, and operate secure, scalable Java services on AWS (ECS/EKS) with Postgres. Provide technical direction, adopt AI-assisted development practices, ensure operational stability, build observability dashboards (Splunk/Dynatrace/Grafana), and drive multi-region, zero-downtime deployments while promoting SDLC governance and reuse.

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 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.

Design and deliver scalable, resilient Java-based microservices and REST APIs; build event-driven data pipelines with Kafka; model and tune SQL/NoSQL stores; implement CI/CD and infrastructure-as-code; monitor and improve production reliability; conduct code reviews and collaborate with stakeholders to produce production-ready solutions.

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 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 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 back-end engineer delivering cloud-native microservices, building scalable, secure, high-volume data processing systems. Design domain models, implement tests, optimize performance, operate production services, and support incident management across distributed systems.

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 multiple software teams to deliver compliant, resilient Java-based applications on AWS. Guide system design, development, testing, CI/CD, and operational stability; manage stakeholders, dependencies, and team practices while fostering diversity and inclusion.

Lead backend engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot services on cloud infrastructure. Drive event-driven, multi-region architectures, operational stability and automation, lead architectural evaluations, mentor engineering communities, and incorporate AI/LLM tools.

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.