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Redian Software
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Java / Spring — for the long-lived enterprise systems

Java and Spring development for banking, insurance and enterprise applications. Spring Boot, Spring Cloud, Hibernate, Kafka — for systems that need to survive a decade.

Hire Java / Spring engineers See our work
CMMI Level 3 Appraised ISO Certified 200+ enterprises 5 regional hubs 9+ years of delivery
Java / Spring delivery, in numbers

Proof, not promises.

Real benchmarks from production engagements.

  • Spring Boot

    Default framework

    Plus Spring Cloud for distributed

  • BFSI

    Where we deploy most

    Banking, insurance, lending

  • Decade+

    Java app lifespan

    Built for the long run

  • JDK 21+

    Modern Java

    Records, virtual threads, pattern matching

What we deliver

The capabilities our Java / Spring engineers ship.

Production patterns from real engagements — not a stack-marketing checklist.

  • 01

    Spring Boot microservices

    Production microservices with proper layering, DTO mapping, validation, OpenAPI documentation, integration testing.

  • 02

    Spring Cloud distributed

    Service discovery (Eureka/Consul), config (Spring Cloud Config), circuit breakers (Resilience4j), gateway (Spring Cloud Gateway).

  • 03

    Hibernate / JPA at scale

    Proper entity design, second-level cache, query tuning, batch operations, connection pool sizing.

  • 04

    Kafka event-driven

    Spring Kafka, schema registry (Avro/Protobuf), exactly-once semantics, idempotent consumers, dead-letter queues.

  • 05

    Enterprise security

    Spring Security with OAuth 2.0 / OIDC, JWT, RBAC, fine-grained authorisation, audit logging.

  • 06

    Modern JVM tooling

    JDK 21+ with virtual threads, records, pattern matching, sealed types. We don't write Java 8 in 2026.

Who hires us for Java / Spring

Where this stack fits best.

We've seen the patterns — match yours against the list to find the closest fit to your situation.

  • Banks & lenders

    Core banking, lending platforms, payment systems — where Java's BFSI ecosystem dominates.

  • Insurers & brokers

    Policy administration, claims, broker platforms — long-lived enterprise systems.

  • Large enterprise IT

    Enterprise IT environments standardised on Java. Internal apps, integration services, microservice estates.

  • Government & public sector

    Public-sector applications with strict procurement preferring Java's enterprise ecosystem.

  • Data-heavy backends

    Backends using Kafka, Spark, Cassandra, Flink — JVM-native ecosystems.

  • Modernisations

    Legacy J2EE / Spring 3 / Java 8 environments modernising to Spring Boot 3 / JDK 21.

How we engage

From brief to production.

Transparent, milestone-driven, with clear owners and timeframes at every stage.

  1. 01Weeks 1–2

    Architecture

    Microservice decomposition, data model, integration map, observability strategy, deployment plan.

  2. 02Weeks 3–14

    Build

    Two-week iteration cycles, working software each sprint, OpenAPI specs from day 1.

  3. 03Weeks 14–16

    Hardening

    Performance, security, integration testing, observability, chaos engineering.

  4. 04Week 17

    Production

    Containerised deployment to Kubernetes, hypercare with named senior engineers on call.

Java / Spring in depth

Inside our Java / Spring practice.

The long-form view of how we approach Java / Spring engagements.

Java for the long-lived systems

Java is the dominant enterprise language — and for good reason. Decade-long maintenance, deep BFSI ecosystem, JVM tooling, mature observability and the strongest type system among the mainstream backend languages. Our Java practice ships Spring Boot, Spring Cloud, Hibernate, Kafka — and the production discipline that goes with them.

What we deliver

  • Spring Boot for production microservices and APIs
  • Spring Cloud for distributed systems — service discovery, config, circuit breakers, gateway
  • Hibernate + JPA for the data layer, with proper second-level cache and query tuning
  • Kafka + Spring Kafka for event-driven architectures
  • Spring Security + OAuth 2.0 / OIDC for enterprise auth
  • Quarkus / Micronaut when native-image and faster startup matter

Where Java is the right choice

BFSI back-office, long-lived enterprise systems, JVM-heavy environments (Kafka, Spark, Cassandra), regulatory environments where Java's library ecosystem dominates.

Why Redian for Java / Spring

What makes our Java / Spring practice different.

Independent reasons clients pick us over freelancers, agencies and large consultancies.

  • BFSI Java heritage

    Most of our Java work is BFSI. We know the regulatory and operational expectations that environment imposes.

  • Modern Java only

    JDK 21+, Spring Boot 3+, records, virtual threads, modern patterns. We don't ship Java 8 nostalgia.

  • Production discipline

    Observability (Micrometer + OpenTelemetry), tracing (Jaeger/Zipkin), structured logs, real testing.

  • Polyglot honesty

    Where Java is overkill, we suggest Python or Node.js. Where it's the right fit, we ship Java.

Tech & tools

The Java / Spring stack we ship on.

Production tooling — not just languages on a CV.

  • JDK 21+
  • Spring Boot 3+
  • Spring Cloud
  • Spring Security
  • Spring Kafka
  • Spring Data
  • Hibernate
  • JPA
  • Quarkus
  • Micronaut
  • Maven
  • Gradle
  • JUnit 5
  • Mockito
  • Testcontainers
  • Kafka
  • Avro / Protobuf
  • PostgreSQL
  • Oracle
  • Cassandra
  • Redis
  • Elasticsearch
  • Micrometer
  • OpenTelemetry
  • Jaeger
  • Resilience4j
  • Docker
  • Kubernetes
  • AWS
  • Azure
Proof from production

A Java / Spring project we can share publicly.

Most of our work is under NDA — this is one we can share.

BankingAfrica

Core Banking + Digital Channels for a Cameroon-based Bank

Client · Confidential — Cameroon

  • 9 months

    Live in production

  • 250,000+

    Active customers

  • −60%

    Cost-to-serve

Full core banking modernisation plus mobile, internet and agency banking for a Cameroon-based bank — live in 9 months, now serving 250,000+ customers.

Tech stack

JavaSpring BootPostgreSQLKafkaReactKotlinSwiftAWS
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Frequently asked questions

Everything you wanted to ask before the call.

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Why pick Java over Node.js or Python?

Java for long-lived enterprise systems, BFSI environments, JVM-heavy ecosystems (Kafka, Spark, Cassandra), regulator-supervised applications, or teams already invested in JVM tooling. Node.js for I/O-heavy real-time. Python for AI/ML and data engineering.

Spring Boot vs Quarkus vs Micronaut?

Spring Boot for the broadest ecosystem support and most engineer-friendly DX. Quarkus when native-image and faster cold-start matter (serverless, scale-to-zero). Micronaut as an alternative to Quarkus with cleaner DX. We default to Spring Boot.

Do you do reactive Spring (WebFlux)?

Yes — for genuinely reactive use-cases (real-time data, streaming, very-high-concurrency APIs). For typical CRUD APIs we recommend imperative Spring Boot + virtual threads (JDK 21+) — same scalability without the cognitive overhead.

Can you modernise our legacy Java app?

Yes — J2EE → Spring Boot, Java 8 → JDK 21, monolith → microservices. Strangler-fig pattern, incremental delivery, parallel running until cutover. We've modernised systems running for 15+ years.

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Ready to ship with Java / Spring?

Tell us the role, the seniority and the time-zone overlap you need — a senior engineer will send three pre-vetted profiles within a week.

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