Custom Java Software Services Development Company
Since 2016, we've been creating Java solutions that blend innovation and reliability in every project. With over 300 satisfied clients worldwide, we're proud to be a trusted Java development company helping businesses achieve meaningful results.
Production microservices with Spring Boot, WebFlux, and Spring Cloud for discovery and config.
Kafka, Pulsar, and RabbitMQ-based event platforms with idempotent consumers and outbox patterns.
Spring Batch, Apache Flink, and high-volume batch processing on JVM-based data stacks.
OAuth 2.1, OIDC, and role-based access control aligned with internal identity providers.
Legacy Java EE to cloud-native refactors with containerization, observability, and blue-green deploys.
Micrometer, OpenTelemetry, and log aggregation baked into every service we ship.
Java remains one of the most consequential technology choices in enterprise software — not because it is fashionable, but because it is the language running the core banking systems, insurance platforms, healthcare integrations, and logistics engines that process trillions of dollars of transactions annually. When an organisation needs a backend that will still be in production in fifteen years, the Java ecosystem's maturity, tooling depth, and talent pool are hard to argue against.
Codieshub has built Java backend systems for clients in fintech, healthcare, and logistics since 2016 — Spring Boot microservices, Jakarta EE modernisation projects, reactive pipelines with Project Reactor, and integrations with legacy J2EE systems that cannot simply be rewritten. Our engineers understand the difference between writing Java and writing production-ready Java: dependency injection discipline, connection pool sizing, JVM heap tuning, and the operational realities of running on Kubernetes rather than a dedicated application server.
Senior Java engineers in the U.S. are expensive and hard to find. Codieshub's LatAm engineers work the same hours as your team, communicate in fluent English, and carry the same production exposure — at rates that let you maintain a larger, more capable backend team without overextending your engineering budget.
Java projects fail in predictable ways: monoliths that accumulated fifteen years of business logic and now cost more to change than to maintain, Spring Boot services that work fine in development but fall over under real load because nobody tuned the thread pool or connection pool, and integrations with legacy systems that have no documentation beyond the original developers' tribal knowledge.
Codieshub starts Java engagements with a bounded context mapping exercise — understanding what the system actually does before touching code. New microservices get load tested before merging to main, JVM flags are documented alongside application configuration, and legacy integrations are wrapped in anti-corruption layers so new code doesn't inherit old system constraints.
Clients receive Java services built for horizontal scaling, with load testing completed before launch and autoscaling configured so traffic spikes are handled by the platform rather than on-call engineers. Services pass OWASP security reviews as part of standard delivery, and test coverage is sufficient for engineers to refactor with confidence rather than fear.
Describe your system and we'll outline an approach and timeline within 48 hours.
The Work
Archive · 2016 → 2026
Browse all 35 cases→
Finance
Web & UX for TFX Capital
Kapital Bank
Fintech
Fintech Web Platform for Kapital Bank
Saudia Cargo
Transportation & Logistics
Logistics SaaS for Saudia Cargo
HMS
Real Estate
Real Estate SaaS Platform for HMS
Kiwi
Logistics
AI & ML Powered Logistics for Kiwi
mPATH Health
Healthcare
Healthcare SaaS for mPATH Health
Investment List
Fintech
Fintech Web Platform for Investor Discovery
Dot Drive
Fintech
Fintech Web Product for Dot Drive
TeamBuilder
Healthcare
Healthcare SaaS for TeamBuilder
4.9 / 5
Average client rating across platforms
93%
Net Promoter Score
150%
Client retention rate
SOC 2
Type II certified
Four ways to work with us — from surgical staff augmentation to fully managed delivery. All models share the same senior-first talent bench.
Full-time engineers embedded in your team for long-running engagements.
Explore Dedicated Teams↗Add senior specialists to an existing team — vetted, onboarded, and up to speed in weeks.
Explore Staff Augmentation↗Managed fixed-scope projects with a committed timeline and deliverables.
Explore Project Delivery↗Fractional senior technical leadership for architecture, hiring, and strategy.
Explore Virtual CTO↗Why Codieshub
The shortlist we get asked about on every call — what actually separates Codieshub from a dev shop.
Our Java engineers are fluent in Spring Boot, Spring Security, Spring Data JPA, and Spring Cloud — including the operational patterns for service discovery, circuit breaking with Resilience4j, and distributed config management that make microservice architectures actually work in production.
We profile Java services with async-profiler and JFR, tune GC strategy (G1, ZGC, or Shenandoah depending on latency requirements), and size thread pools and connection pools to match actual production load profiles rather than arbitrary defaults.
Java services we ship implement OAuth 2.0 / OIDC via Spring Security, use parameterised queries exclusively to prevent SQL injection, validate and sanitise all external inputs at the boundary, and are tested against OWASP Top 10 before any client-facing deployment.
We have modernised J2EE applications, WebLogic-deployed EAR files, and SOAP-based integrations into REST or gRPC microservices — without big-bang rewrites. Strangler-fig pattern, event interception, and parallel-run strategies are part of our standard toolkit.
Our Java engineers have production experience with PostgreSQL, Oracle, SQL Server, MySQL, and Cassandra — including ORM performance pitfalls, query plan analysis, and the cases where JDBC directly outperforms Hibernate for high-throughput reporting queries.
For high-concurrency scenarios where blocking thread-per-request models hit their ceiling, we build with Project Reactor and Spring WebFlux, integrate with Kafka or ActiveMQ for durable messaging, and design backpressure handling that prevents upstream services from overwhelming downstream consumers.
Reviews
Farid Huseynov
CEO · Kapital Bank
Kapital Bank case study→“Reliability and scalability are critical for us. They approached the engagement with a strong technical foundation and a clear process.”
Oliver Dlouhy
CEO · Kiwi
Kiwi case study→“We move fast and deal with a lot of edge cases. They kept up without cutting corners, which is rare. The team stayed responsive across time zones.”
Michael Ou
Founder · CoolBitX
CoolBitX case study→“Security and precision are non-negotiable for us. They demonstrated solid technical judgment, were open to feedback from our engineers, and iterated quickly.”
John Bradford
CEO · PetScreening
PetScreening case study→“An external team can be just as committed and driven as our internal one. Their dedication and attention to detail have made them invaluable.”
Lisa Dunbar
CEO · Paradigm Labs
Paradigm Labs case study→“They did an excellent job balancing scientific nuance with a user-friendly experience. It's clear they care about both rigor and design.”
Ryan Pamplin
CEO · Blendjet
Blendjet case study→“Managing global scale requires extreme technical precision. Codieshub re-architected our funnels to perform under massive pressure.”
Steve Gebhardt
Founder · RSVLTS
RSVLTS case study→“Our old setup crashed during every major drop until Codieshub built a beast of an engine for us. They handled our traffic spikes perfectly.”
Davis Rosser
CEO & Co-founder · Elite Amenity
Elite Amenity case study→“The digital concierge we co-built is more than tech — it's a paradigm shift in resident experience. Luxury brands can now offer faster services.”
Vito Robles
COO · Percensys
Percensys case study→“They took feedback seriously, refined the details, and made sure our content and workflows were presented in a way that really works for our learners and admins.”
Enterprise-grade security and compliance across every engagement.
Nearshore teams that overlap with your working hours for real-time collaboration.
Near-perfect satisfaction scores across Clutch, DesignRush, and Manifest.
Process
Our engineers are not freelancers, and we are not a marketplace. Dedicated Codieshub seniors, seated with your team.
Before kickoff
Pre-kickoff technical and strategic review.
Before a single line of code, we sit with your team to align on stack, constraints, and what success looks like. Our VP Eng, CTO, and senior leads join — not a sales engineer.
Full review of your stack, goals, and constraints before kickoff
Session led by VP Eng, CTO, and the senior leads who'll staff the work
Architecture, tooling, and team shape agreed before the first sprint
Questions
The questions we get on every intro call — answered without the marketing gloss.
A net-new Spring Boot microservice — REST API, JWT auth, database persistence, CI/CD pipeline, containerised deployment — takes six to ten weeks for a focused scope. Microservices that integrate with existing enterprise systems (LDAP, SAP, legacy databases, SOAP services) take ten to sixteen weeks depending on integration complexity and documentation quality of the target system. We deliver a working build to a staging environment at the end of every two-week sprint rather than waiting until the final week.
Keep exploring
