Senior Java Backend Developer Spring WebFlux & Kubernetes//Cincinnati, OH//c2c and W2
Senior Java Backend Developer Spring WebFlux & Kubernete
Location- Cincinnati OH
C2C and W2
About the Role:
You 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.
Responsibilities:
Architect 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 strategies
Define and evolve REST API contracts with structured validation, error handling, and observability
Drive integration patterns for enterprise third-party platforms and SSO providers
Automate 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 SonarQube
Own Docker multi-stage builds and Kubernetes deployment pipelines (GitHub Actions, Harness)
Champion observability: correlation ID propagation, MDC logging, Actuator metrics
Mentor mid-level engineers and participate actively in code review and sprint ceremonies
Required Skills:
5+ years of professional Java development; Java 17+ and Spring Boot required
Deep experience with reactive programming: Project Reactor, non-blocking I/O, WebClient
Strong understanding of OAuth2 / OpenID Connect; hands-on experience with token exchange or SSO integrations
Proven REST API design skills with DTO-based transformation patterns at scale
Maven, Docker, Kubernetes - not just aware of, but comfortable owning
Git-based workflow in a fast-paced CI/CD environment
Daily use of AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your workflow
Nice to Have:
Experience designing or integrating agentic systems - multi-step LLM workflows, tool use, or prompt engineering for code-adjacent tasks
JFrog Artifactory or similar artifact management
Caffeine or other in-memory caching strategies
SonarQube and code quality gate configuration
Harness or other deployment automation platforms
Azure devops experience
Environment:
Enterprise 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.
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