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.