Senior Java Backend Developer Spring WebFlux & Kubernetes//Cincinnati, OH//c2c and W2

Senior Java Backend Developer Spring WebFlux & KuberneteLocation- Cincinnati OHC2C and W2About The RoleYou will design, build, and maintain reactive Java microservices that integrate enterprise third-party systems with internal consumers. You will own the full lifecycle of API development - from authentication flows and data transformation through deployment automation - within a Kubernetes-hosted, CI/CD-driven environment.You bring strong opinions on system design, move fast without cutting corners, and actively use AI-assisted tooling to stay ahead. You are comfortable leading technical decisions within a scrum team and mentoring engineers around you.ResponsibilitiesArchitect and own (code) reactive Spring Boot/WebFlux microservices at scale using Project Reactor (Mono/Flux)Lead design of OAuth2 token exchange flows, credential lifecycle management, and caching strategiesDefine and evolve REST API contracts with structured validation, error handling, and observabilityDrive integration patterns for enterprise third-party platforms and SSO providersAutomate repetitive engineering tasks - code generation, test scaffolding, data transformation pipelines - using AI-assisted tooling (Claude, Copilot, or similar)Set the bar for test quality and coverage; enforce standards via JaCoCo and SonarQubeOwn Docker multi-stage builds and Kubernetes deployment pipelines (GitHub Actions, Harness)Champion observability: correlation ID propagation, MDC logging, Actuator metricsMentor mid-level engineers and participate actively in code review and sprint ceremoniesRequired Skills5+ years of professional Java development; Java 17+ and Spring Boot requiredDeep experience with reactive programming: Project Reactor, non-blocking I/O, WebClientStrong understanding of OAuth2 / OpenID Connect; hands-on experience with token exchange or SSO integrationsProven REST API design skills with DTO-based transformation patterns at scaleMaven, Docker, Kubernetes - not just aware of, but comfortable owningGit-based workflow in a fast-paced CI/CD environmentDaily use of AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your workflowNice To HaveExperience designing or integrating agentic systems - multi-step LLM workflows, tool use, or prompt engineering for code-adjacent tasksJFrog Artifactory or similar artifact managementCaffeine or other in-memory caching strategiesSonarQube and code quality gate configurationHarness or other deployment automation platformsAzure devops experienceEnvironmentEnterprise tech stack. Services run on Java 17, Spring Boot 4, deployed to Kubernetes via Docker. All code goes through automated quality scans and coverage checks before merge. We actively invest in AI tooling and expect senior engineers to help shape how we adopt it responsibly and at speed.