Java developer

Java developers analyze requirements, devise object-oriented designs, then code, test, debug and tune Java for web, desktop or mobile apps. They craft REST APIs, link databases with JDBC/JPA/Hibernate, handle threads, memory and security, use Maven/Gradle, Git and CI/CD, write unit/integration tests with JUnit, generate Javadoc, review code, profile performance, squash bugs, refactor legacy parts, and work with QA, DevOps and product to deliver reliable, scalable, maintainable software products.
Нанять исполнителя
Rapidly scale or downsize development capacity
Access to specialized, up-to-date Java expertise
Shorter hiring and onboarding cycle
Lower recruitment and HR overhead costs
Flexibility to engage talent only for project duration
Immediate productivity from pre-vetted professionals
Reduced long-term employment liabilities and benefits
Knowledge transfer to the in-house team
Ability to focus internal resources on core business tasks
Pay only for actual billable hours and deliverables

IntelliJ IDEA

Powerful IDE accelerating Java coding tasks

Apache Maven

Dependency management simplifying Java project builds

Gradle

Flexible build automation optimizing Java pipelines

JUnit

Robust testing framework ensuring reliable Java applications

Portfolios

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Enterprise E-commerce Platform

Scalable B2C storefront powered by Java microservices.
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Streaming Analytics Pipeline

Low-latency Kafka–Spark pipeline for actionable insights.
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RESTful API Gateway

High-throughput gateway securing heterogeneous backend systems.
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Supply-Chain Management Suite

Microservice solution optimizing inventory and logistics.
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Payment Processing Engine

PCI-compliant engine enabling real-time transaction settlement.

Reviews

We’d spent six weeks chasing a full-stack Java developer. Smartbrain delivered two vetted Spring Boot & Hibernate pros in 10 days. Their onboarding packets and pre-configured IDE images let them commit to our loan-processing microservices on day one, boosting sprint velocity 28 % and cutting HR paperwork in half.

Melissa Hayes

HR Professional

Cascade FinTech Solutions

Smartbrain’s Java staffing saved our release. The new hire arrived fluent in Java 17, Kafka Streams, and Kubernetes; zero ramp-up. He refactored our data-pipeline REST APIs the first week, dropping JVM memory use 30 %. We finally hit feature freeze two sprints early.

Carlos Bennett

Dev Team Lead

NovaWave Analytics

As a scaling SaaS shop we needed senior Java microservices talent fast. Smartbrain shrank our hiring cycle from 60 days to 12 and handled all onboarding. The developers slotted into our pay-as-you-go billing module seamlessly, uplifting release quality and letting me focus on fundraising.

Rebecca Klein

CEO

HarborCloud Tech

Smartbrain’s contract Java devs blended into our legacy JPA/Struts stack without fuss. They automated builds with Gradle & Docker, cutting nightly compile time from 40 to 15 minutes. Support tickets dropped 22 %, and my in-house crew can finally tackle new IIoT features.

Daniel Price

Owner

IronGate Manufacturing Software

Hiring Java backend talent in Des Moines was brutal. Smartbrain tapped its nationwide pool and delivered three remote engineers adept at Spring Security and OAuth2. Their structured onboarding portal synced docs, tax forms, and git access in hours, slashing recruiting stress and boosting team throughput.

Linda Moore

HR Professional

Sunridge Insurance Systems

Tech Stacks

Spring Boot Microservices Stack

Spring Boot Microservices Stack blends Spring Boot, Spring Cloud, Maven or Gradle, Docker, and Kubernetes to let Java teams craft resilient distributed systems quickly. Spring Boot’s opinionated auto-configuration accelerates RESTful service creation while Spring Cloud adds service discovery, configuration management, circuit breakers, and gateway routing. Maven or Gradle handle dependency resolution and repeatable builds, Docker packages each microservice into portable containers, and Kubernetes orchestrates scalable deployments across clusters. The stack embraces twelve-factor principles, DevOps automation, and cloud-native patterns, reducing boilerplate and operational friction. It is extremely popular in enterprise modernization projects, especially when migrating monoliths incrementally. Developers deploy microservices confidently.

Jakarta EE Enterprise Stack

Jakarta EE Enterprise Stack centers on application servers such as WildFly, Payara, Open Liberty, or GlassFish delivering the standardized APIs formerly known as Java EE. It combines CDI, JPA, EJB, JAX-RS, JMS, Bean Validation, and Servlet technology to implement multilayered, transaction-safe business applications. Maven or Gradle manage project structure; Docker images simplify deployment; traditional relational databases like PostgreSQL or Oracle supply persistent storage. Built-in clustering, security realms, and thread management offload infrastructural concerns, allowing architects to focus on domain logic and portability. Long-term specifications, backward compatibility, and vendor neutrality make Jakarta EE attractive for regulated, mission-critical corporate systems worldwide enterprises.

Reactive and Event-Driven Stack

The Reactive and Event-Driven Stack empowers non-blocking, high-throughput services using frameworks like Spring WebFlux, Project Reactor, Vert.x, Netty, and Akka. It favors asynchronous data streams over thread-per-request models, achieving massive scalability with small resource footprints. Developers express data pipelines through publishers, subscribers, and back-pressure, while Kotlin coroutines or Java virtual threads sometimes complement reactive primitives. JSON over HTTP, WebSockets, or gRPC transport messages; Kafka or RabbitMQ provide durable event buses. Observability relies on metrics, distributed tracing, and reactive-friendly debugging tools. When coupled with cloud functions and serverless platforms, the stack enables responsive, resilient, real-time applications delivering sub-second user experiences today.

Android Development Stack (Java Edition)

Although Kotlin dominates new Android code, many Java developers still rely on the classic Android Development Stack consisting of Android SDK, Android Studio, Gradle build scripts, and libraries like Retrofit, Room, and Dagger/Hilt. The stack targets smartphones, tablets, wearables, televisions, and vehicle consoles. Java code interacts with Java-based APIs for activities, services, content providers, notifications, and UI widgets. Gradle handles multi-module builds, variant flavors, and continuous integration pipelines. Retrofit simplifies REST calls, Room abstracts SQLite persistence, and Dagger supplies dependency injection. Emulator images, Firebase services, and Google Play Console complete the lifecycle from prototyping through instrumentation testing to global distribution.

Big Data Processing Stack

The Big Data Processing Stack leverages Java APIs within Hadoop, Spark, Flink, and Kafka ecosystems to crunch petabyte-scale datasets. HDFS or cloud object storage houses raw information; YARN, Mesos, or Kubernetes schedule distributed jobs. Developers write Spark RDDs, DataFrames, or Flink streaming operators in pure Java, often using Lombok, Avro, and Jackson for model serialization. Kafka Connect ingests events, while Kafka Streams provides real-time aggregation pipelines. Parquet, ORC, and Iceberg optimize columnar persistence. Gradle or Maven create fat-jar or Docker artifacts deployable on EMR, Dataproc, or on-prem clusters. The stack underpins analytics dashboards, recommendation engines, fraud detection, and IoT telemetry.

Testing and CI/CD Stack

The Testing and CI/CD Stack equips Java developers with JUnit 5, TestNG, AssertJ, Mockito, JaCoCo, Maven or Gradle, Docker, Jenkins, GitHub Actions, and SonarQube to ensure code quality and delivery velocity. Unit, integration, contract, and end-to-end tests execute automatically on every commit, while test containers spin up ephemeral databases or message brokers. Code coverage metrics gate merges; static analysis highlights vulnerabilities and smells. Build scripts package artifacts, publish snapshots to Nexus or Artifactory, then trigger multi-stage pipelines deploying to staging and production clusters. Slack or Teams notifications provide feedback loops. The stack enforces automated governance, fostering confident, continuous, reliable releases.

Shortlist

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Alexei Petrov

Principal Java Microservices Engineer

Seasoned backend craftsman with 9+ years of designing distributed, JVM-based systems for fintech and telecom domains. Alexei blends deep knowledge of Java 17, Kotlin, and Spring Boot with solid DDD and clean architecture practices. At T-Bank he led a refactor of a monolithic core into 34 cloud-native microservices, reducing release cycle from monthly to daily. He is fluent in performance tuning (JMH, Flight Recorder), containerisation (Docker, Kubernetes), and CI/CD pipelines on GitLab. Recent hobby project: high-throughput event gateway processing 250k msg/s on GraalVM. Alexei mentors four developers, speaks at JUG Moscow, and writes blog posts read by 6k subscribers. Holds Oracle Certified Professional Java SE 11 and AWS Solutions Architect Associate. Russian native, English C1. Available in two weeks, prefers hybrid or remote across CET+1. Soft skills: proactive risk communication, outcome ownership, and calm under production fire. Interviews prepared, references supplied on request. If you need someone to decompose legacy depth, accelerate delivery, and coach the team, Alexei will land running and leave the codebase healthier than he found it. Ask for case study on latency reduction. Enjoys functional programming meetups, contributes patches to Spring Native, and is currently exploring Rust for safe service extensions in his open-source sandbox daily.
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Carlos da Silva

Senior Java Cloud Developer

Polyglot engineer with 7 years steering Java, Quarkus, and cloud technology to power high-volume e-commerce platforms in LATAM. Carlos combines solid computer-science fundamentals (BSc, USP) with pragmatic obsession for shipping value. At MercadoRápido he decomposed a 2-million LOC monolith, building a reactive checkout service that cut cart-to-order latency by 35 %. Strong on Java 21, Jakarta EE, Micronaut, Kafka, Redis, PostgreSQL, and Elasticsearch; certified Scrum Master and fluent in DevOps culture. He designs pipelines with GitHub Actions, Terraform, Azure, and Sonar, pushing multiple production deployments daily. Carlos leads guilds on observability, having rolled out OpenTelemetry traces that trimmed MTTR from hours to minutes. Community contributor to Quarkus extensions; conference talk at QCon São Paulo 2024 accepted. Portuguese native, English B2, Spanish conversational. Soft skills highlight empathy, data-driven negotiation, and storytelling to non-tech stakeholders. Enjoys pair programming, TDD, and hexagonal architecture. Outside work he coaches an under-12 robotics club and cycles centennial routes. Available remote across Americas; relocation to Europe possible Q4. Ask him about migrating 20 TB Oracle workload to cloud-native Yugabyte without downtime. If your roadmap demands resilient microservices, metrics-first culture, and a teammate who raises the bar, consider Carlos. He will be demoing his tracing dashboard at JavaOne this fall.
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Vikram Mehta

Java Solution Architect

Architect-level developer with 11 years guiding Java ecosystems from banking mainframes to serverless fintech APIs. Vikram champions clarity in code and communication, translating volatile requirements into stable, testable modules. Recent lead at NeoPay India: designed an event-sourced ledger on Spring Cloud, Axon, and AWS Kinesis that settles 40 000 transactions per second with eventual consistency below 200 ms. He is comfortable profiling GC pauses, writing custom Gradle plugins, and orchestrating multi-region deployments via Terraform and AWS CDK. Certifications include Oracle OCP 17, CKAD, and TOGAF. Passionate about security; rolled out company-wide SAST+DAST pipeline and headed PCI-DSS audit with zero major findings. Mentors interns, runs internal Kotlin book club, and speaks at Bengaluru JUG. Tools he loves: Java 21, Kotlin, Scala, Vert.x, Apache Pulsar, MongoDB, Prometheus, Grafana. Soft skills: servant leadership, crisp risk logs, and cross-timezone facilitation. Outside laptops he plays classical guitar and practices mindfulness retreats. Indian citizen, English C2, Hindi native. Open to global remote or Singapore relocation. Notice period 30 days. Ask for whitepaper on cost savings from Lambda snapshotting. If your scale demands balanced engineering rigor and product urgency, Vikram will architect foundations that last beyond the next pivot. Expect lucid design docs delivered within forty-eight hours of ideation.
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Jonas Becker

Java Reactive Engineer

Solution focused Java developer with 8 years experience crafting logistics and IoT systems for DACH enterprises. Jonas thrives where low latency meets rock solid domain models. At FreightFlow AG he migrated a websocket tracking platform to reactive Spring WebFlux, slicing median response time from 600 ms to 95 ms and slashing AWS bill 40 %. Proficient in Java 21, Kotlin, Go, Reactor, Kafka Streams, PostgreSQL, DynamoDB, Docker, Helm, and GitOps on ArgoCD. He loves code quality: 92 % mutation test coverage, Sonar “A” rating for three consecutive releases. Holder of German Behördenprüfung for critical infrastructure and ITIL v4 foundation. Soft skills: design thinking facilitator, empathetic code reviewer, and public speaker (JUG Munich, Devoxx UK 2023). In his last squad he introduced Pact contract testing that eliminated weekly integration outages. German native, English C1, lives in Berlin, willing to work remotely across EU or onsite two days. Hobbies include home automation with Raspberry Pi, trail running, and brewing single origin coffee. Ask him for link to open-sourced logistics simulation engine. Ready to join within four weeks and keen to mentor juniors on reactive paradigms. Jonas blends pragmatism with innovation to drive features safely to production. Expect workshops on event-storming during his first sprint with you.
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David Ochieng

Java Backend Engineer

Full-stack leaning Java backend engineer with 6 years spearheading mobile money and agritech platforms across East Africa. David masters Spring Boot, Java 17, Angular, and Kotlin, delivering resilient APIs consumed by 10 million devices daily. At M-Pesa Lab he optimized a payment switch by rewriting concurrency hotspots, pushing throughput from 800 to 3 500 TPS while cutting CPU 30 %. He designs CI/CD with Jenkins, Ansible, and Kubernetes on GKE, and embeds quality via SonarQube gates and mutation testing. Certified Google Professional Cloud Architect and Oracle Java SE 11 Programmer. Passionate about XP practices: pair rotation, TDD, and trunk-based development. Cultural bridge between product and engineering, David facilitates story-mapping workshops yielding shared vocabulary and lean scope. Soft skills: growth mindset, active listening, and high-energy demos. Community: Nairobi JUG co-organizer, mentors high-school coding clubs, and authored open-source SMS gateway in Quarkus. English fluent, Swahili native; UTC+3 time zone. Available for remote or relocation to Netherlands. Notice 14 days. Ask him about designing offline-first Android clients with protobuf. If you desire sustainable velocity, observability by default, and optimistic leadership, David will amplify your team’s impact. Outside code, he photographs wildlife, hikes Mount Kenya, and plays saxophone in a jazz quartet every other weekend for fun.
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Marko Ignatovski

Lead Java Engineer / Ex-Engineering Manager

Hands-on Java engineer turned engineering manager seeking individual contributor role to get closer to code again. Marko brings 12 years designing, building, and scaling payment gateways and fraud analytics across EU fintech startups. His toolbox: Java 21, Spring Boot 3, Kotlin, Gradle, Akka, Kafka, Cassandra, Redis, Docker, Kubernetes, and GitLab CI. At PayGuard he orchestrated migration from on-prem to AWS EKS, reducing downtime 99 .8 % and saving €1.2 M annually. He still commits daily, recently delivering a rule-engine DSL that cut fraud review time by 42 %. Marko cultivates psychological safety, having led 3 squads of 7 devs through double-digit growth, OKRs, and incident postmortems. Holds CKA, AWS DevOps Pro, and PSM II. Macedonian native, German B1, English C1, located in Vienna. Prefers hybrid Vienna or remote CET±2. Soft skills: strategic roadmap advising, data-driven prioritisation, and crisp architecture decision records. Expect coaching sessions on scaling teams and JVM internals. Hobbies: alpine climbing, board games, and restoring vintage keyboards. Available after 2-month garden leave starting June. Ask about his OSS library AsyncShield with 1.4k GitHub stars. Marko blends leadership insight with battle-tested coding chops to ship value fast. He is currently experimenting with GraalVM native-image to reduce cold starts in lambdas for heavy workloads.

Dev augmentation service

Faster Time-to-Market

Augmenting your team with pre-vetted Java developers lets you skip lengthy recruitment and onboarding, so features ship sooner. Autogenerate section: content created automatically.

Scalable Workforce on Demand

Quickly scale development capacity up or down as project demands fluctuate, paying only for the expertise you actually need. Autogenerate section: content created automatically.

Access to Specialized Expertise

Staff augmentation brings in developers experienced with niche Java frameworks, performance tuning, and cloud integrations that your core team might lack. Autogenerate section: content created automatically.

Cost-Efficient Resource Allocation

Avoid the overhead of full-time hires—no recruitment fees, benefits, or idle bench time—while still gaining senior-level talent. Autogenerate section: content created automatically.

Reduced Project Risk

Reliable augmentation partners supply seasoned professionals who follow proven delivery processes, lowering technical and schedule risks. Autogenerate section: content created automatically.

Knowledge Transfer & Upskilling

External senior Java engineers mentor in-house staff, introducing best practices, modern tooling, and improved code quality that remain after the engagement ends. Autogenerate section: content created automatically.

Domain expertise

Financial Services & FinTech

Banks, trading platforms, payment gateways and insurance firms rely heavily on Java for building secure, low-latency and highly-scalable back-end systems that process millions of transactions every day.

E-commerce & Retail Technology

Online marketplaces, retail POS systems and order-fulfillment platforms use Java to power catalog management, payment processing, recommendation engines and microservice architectures that must remain available 24/7.

Telecommunications & Networking

Telecom operators depend on Java for building OSS/BSS solutions, real-time billing, network management and messaging services where portability and high throughput are critical.

Enterprise Software & SaaS

Large enterprises and SaaS vendors favor Java for ERP, CRM, HRM and other mission-critical applications because of its mature ecosystem, strong typing, scalability and long-term backward compatibility.

Why hire with us

Immediate access to experienced Java developers
Faster project kickoff and reduced time-to-market
Scalable team size that grows or shrinks with project needs
Lower hiring and onboarding costs compared with full-time staff
Reduced HR and administrative overhead (payroll, benefits, taxes)
Access to up-to-date best practices, frameworks, and tooling
Ability to fill niche skill gaps (e.g., Spring Boot, Microservices, Kafka)
Improved risk management through vendor SLAs and talent replacement
Fresh external perspectives that spur innovation and code quality
Enables in-house team to focus on core business features and strategy