Java development services: senior Spring Boot teams on US hours
Dedicated Java teams that build Spring Boot services and event-driven systems, and move legacy Java 8 and Java EE code to modern Java without a rewrite.
By the Ryz Labs team · Updated October 2026
Ryz Labs is a Java development company that gives you a dedicated team of senior Java engineers to build Spring Boot services, Kafka-based systems and high-volume back ends, and to modernize legacy Java, in your repos and your cloud. Every engineer is in the top 1% of the tens of thousands we have interviewed, and the team works on US business hours, including New York hours, with same-day code review.
What we build
Java runs a large share of enterprise back ends: transaction processing, order management, pricing engines, integrations. Our Java teams build new systems in that world and keep old ones moving forward.
- Spring Boot microservices: REST and gRPC services with Spring Web or WebFlux, Spring Data, Spring Security and OAuth 2.0 resource servers, packaged for Kubernetes or ECS.
- Event-driven systems on Kafka: producers, consumers and Kafka Streams applications with schema-registry-managed Avro or Protobuf contracts, exactly-once settings where they matter, and replay plans.
- High-volume transaction back ends: services that process orders, payments, claims or ledger entries, designed for idempotency, consistency and audit trails.
- Java version upgrades: moving services from Java 8 or 11 to Java 17, 21 or 25, including the javax to jakarta namespace change that comes with Spring Boot 3.
- Java EE and app-server migrations: WebLogic, WebSphere or JBoss applications moved to Spring Boot or Quarkus running in containers, one module at a time.
- Monolith decomposition: carving bounded contexts out of a large Java monolith with the strangler-fig pattern, an API gateway and a shared event backbone, only where independent deployment pays off.
- Integration services: Spring Integration or Apache Camel routes connecting ERP, CRM, mainframe and partner systems, with retries, dead-letter handling and reconciliation.
- Batch processing: Spring Batch jobs for end-of-day processing, statements and data loads, restartable from the last committed chunk.
How an engagement works
- Talk. A scoping call with your engineering lead about the system, the current Java and framework versions, deployment, data and the outcome you need.
- Match. We propose a team scoped to your stack, such as senior Java and Spring engineers plus a DevOps or QA automation engineer. You get a plan, a price and the names of the people.
- Join. The team starts in your repos, Maven or Gradle builds, CI pipelines and standups, and demos working services every week.
- Grow. Add engineers or disciplines as the scope grows, or hand the services to your team with runbooks, dashboards and architecture notes.
Week 1 means access, a green local build, and an inventory of modules, dependencies, Java versions and test coverage. Month 1 usually brings a written target architecture or upgrade plan, a service template (Actuator health checks, Micrometer metrics, structured logging, Testcontainers tests) and the first change in production. By month 3, the team ships on your release cadence, upgrade or migration work moves module by module, and performance baselines are part of every release.
The stack our teams work in
| Layer | Tools we use | Notes |
|---|
| Language and runtime | Java 17, 21 and 25 (LTS), Kotlin where teams already use it, GraalVM native images | Virtual threads on Java 21+ for blocking I/O workloads |
| Frameworks | Spring Boot, Spring Cloud, Spring Security, Quarkus, Micronaut, Jakarta EE | Spring Boot by default; Quarkus when startup time and memory matter |
| Data | PostgreSQL, Oracle, SQL Server, Hibernate/JPA, jOOQ, Flyway, Liquibase | Schema migrations versioned with the code |
| Messaging | Apache Kafka, Kafka Streams, Confluent Schema Registry, RabbitMQ, IBM MQ | Contracts evolve with compatibility checks |
| Build and quality | Maven, Gradle, JUnit 5, Mockito, AssertJ, Testcontainers, ArchUnit, SonarQube | Integration tests against real databases and brokers |
| Migration tooling | OpenRewrite recipes, jdeps, Spring Boot properties migrator | Automated refactors reviewed by people, not merged blind |
| Cloud and observability | AWS, Azure, Docker, Kubernetes, Micrometer, OpenTelemetry, Prometheus, Grafana | JVM metrics, traces and logs in one view |
How we keep Java systems fast and upgradeable
Java systems rarely fail because of the language. They fail because of slow queries hidden behind an ORM, JVMs sized by guesswork, and dependencies nobody dared to upgrade. The failure modes a senior Java team guards against:
- Hibernate N+1 queries and lazy-loading surprises. We enable SQL logging and query counts in integration tests, use fetch joins and entity graphs on purpose, and keep transactions short so lazy collections don't load outside a session.
- Garbage-collection pauses and memory pressure. We size heaps from measurements, pick G1 or ZGC based on latency targets, set container-aware JVM flags, and read GC logs and Java Flight Recorder output before tuning anything.
- Thread-pool and connection exhaustion. A slow downstream service can tie up every request thread. HikariCP pools, timeouts on every outbound call, bulkheads and circuit breakers with Resilience4j keep one slow dependency from taking down the service.
- Stuck on old versions. Spring Boot 2.x and Java 8 hold back security fixes and hiring. We upgrade in steps (Java version, then Spring Boot, then the jakarta namespace) with OpenRewrite doing the mechanical edits and tests proving behavior is unchanged.
- Kafka consumer pitfalls. Rebalance storms, unbounded retries and lost offsets cause duplicate or missing events. Consumers are idempotent, commit offsets after processing, send poison messages to a dead-letter topic and are tested against a real broker.
- Vulnerable dependencies. One outdated logging or XML library can expose a service. OWASP Dependency-Check or Snyk runs in CI, and the team keeps a dependency upgrade lane in every sprint.
- Architecture drift. ArchUnit tests enforce module and layer boundaries, so a "quick fix" doesn't wire the web layer straight to the repository and undo the design.
Team shapes and cost
Typical Ryz pricing is $7,000 to $15,000 per engineer per month. Mid-level engineers (comparable to Amazon L5) cost $7,000 to $10,000; seniors (comparable to Amazon L6) cost $10,000 to $15,000; leads start at $15,000 and are quoted per team. Monthly cost is headcount times rate, and project cost is team size times duration times monthly rate.
- Upgrade team (a Java and Spring Boot upgrade across a handful of services): 2 senior Java engineers. 2 × $10,000–$15,000 = $20,000–$30,000 per month.
- Service team (new Spring Boot services on Kafka): 1 tech lead, 3 senior Java engineers and 1 mid-level QA automation engineer. $15,000+ for the lead, 3 × $10,000–$15,000, plus $7,000–$10,000 = from about $52,000–$70,000 per month.
- Modernization program (app-server or monolith migration): 1 lead, 4–5 senior Java engineers, 1 DevOps engineer and 1 QA automation engineer, quoted per team after scoping.
Quotes are scoped per team. You get a plan, a price and the names of the people before you start.
Dedicated team or staff augmentation?
Choose a dedicated development team when you want an outcome owned end to end: a new service, a version upgrade across the estate, a migration off an application server. The team plans and delivers it, and demos progress weekly to your engineers. Larger modernization programs are covered on our legacy application modernization page.
Choose staff augmentation when your architects own the design and need more senior hands. Then you hire Java developers who work on your team, take tickets from your backlog and follow your standards.
When Ryz isn't the right fit
If you need a short hourly gig or want to trial someone before talking to anyone, a self-serve freelance marketplace fits better. If your Java estate needs coverage in European or Asian time zones, or follow-the-sun support, a global network is the better match. And if you want a board-level transformation program or a proprietary platform rather than engineers who build and modernize your systems, look at large consultancies or platform vendors.
Related
FAQ
How much do Java development services cost?
Ryz engineers typically cost $7,000 to $15,000 per engineer per month: $7,000 to $10,000 for mid-level, $10,000 to $15,000 for senior, and $15,000 and up for leads, quoted per team. Two senior Java engineers are $20,000 to $30,000 per month. You get a scoped plan, a price and the names before any work starts.
How quickly can a Java team start?
After the scoping call we propose a team with named engineers. Most of the timeline depends on scope and your onboarding: repository and VPN access, environments, security reviews and access to the people who know the current system. We don't promise a start date before we have seen those.
Can you upgrade us from Java 8 without a rewrite?
Yes, and a rewrite is rarely the right call. We upgrade in steps: get the build green on a newer JDK, update Spring Boot, apply the jakarta namespace change with OpenRewrite, and let the test suite (or new characterization tests) prove nothing changed for users.
Do you work with Oracle databases and older app servers?
Yes. Many Java systems we see run on Oracle, WebLogic or WebSphere. We can keep them running while new services are built next to them, or move them to containers and open-source runtimes when that is the goal.
Spring Boot or Quarkus?
Spring Boot has the larger ecosystem and the most engineers who know it, so it is our default. Quarkus or GraalVM native images make sense when fast startup and low memory matter, for example in serverless functions or dense Kubernetes clusters.
Questions we didn't answer? Email info@ryzlabs.com.