Project-based
Share your requirements and we build and deliver it with our own Java team.
Best for: A defined outcome, without managing developers yourself.
Start a project
Our Java developers build and maintain enterprise backends with Spring Boot, work on high-throughput services and help modernize older Java EE monoliths into maintainable services.
Tell us a little about your requirements and our team will get back to you.
IDOWS Apex is a software engineering company in Lahore, Pakistan that provides Java developers on a project, dedicated-developer or dedicated-team basis. A Java developer builds and maintains applications on the Java Virtual Machine, most often enterprise backends, transaction systems and integration services built with Spring Boot, JPA and messaging platforms such as Kafka. Clients interview each developer before they join.
Why hire our Java developers

Matched to your Java stack and seniority, and interviewed by you before anyone joins.
Reviewed Java code with tests and documented hand-over.
Slack or Teams, Jira, GitHub, standups and code review.
One Java developer, a dedicated team or a defined project.
Java development services
Java project process
Five stages from the first conversation to the software running in production.

Engagement models
Pick the model that fits how much of the delivery you want to manage.
Share your requirements and we build and deliver it with our own Java team.
Best for: A defined outcome, without managing developers yourself.
Start a projectJava developers join your existing team, tools and standups. You lead the work.
Best for: Ongoing development where you want direct control and flexible headcount.
Add developersA complete Java team around your product: development, QA and technical support.
Best for: Long-term products that need several roles working together.
Build a teamWhen to hire Java developers
There is no single rate for Java developers. Cost depends on the seniority you need, the engagement model you choose (adding developers to your team, a dedicated team, or a fixed-price project), how long the engagement runs and the scope of the work. For Java work, the biggest drivers are the age of the Java version and application server in use, how much of the system lacks automated tests, and the throughput and consistency requirements of the transactions it processes. Share your requirements and we will come back with a quote for your situation.
You tell us the technology, seniority, role and team structure you need. We recommend Java developer profiles that match those requirements, and you review the profiles and speak with the engineers yourself before anyone joins your team. When you interview, the areas worth testing are features in recent Java LTS releases, including records and virtual threads; garbage collector choice and reading GC logs; jPA/Hibernate fetching strategies and N+1 detection; concurrency utilities, thread safety and CompletableFuture; kafka consumer design, offsets and idempotency; and a step-by-step plan for migrating a Java EE module to Spring Boot.
It depends on which engineers with the right skills are available when you get in touch, so we do not publish a fixed start date. Availability is part of the conversation when we recommend profiles, and the start date is agreed with you before the engagement begins.
Because you interview the engineers before anyone joins, fit is tested before work starts. If concerns come up once the engagement is running, raise them with us directly. How changes to the team are handled is set out in the terms you agree with us at the start.
A freelancer suits small, well-defined tasks you can manage yourself. A dedicated developer joins your team under your direction. A dedicated team adds several roles around your product, and a project-based team delivers a defined outcome end to end.
Older Java versions lose free security updates, and newer LTS releases add records, pattern matching, sealed classes and virtual threads, which simplify code and handle high-concurrency I/O with far fewer platform threads. Garbage collector improvements often cut latency too. Upgrading one LTS at a time keeps dependency and build issues manageable.
It starts with measurement, not flags. Engineers profile with JDK Flight Recorder or async-profiler, read garbage collection logs and check heap usage under realistic load. Only then do they choose a collector such as G1 or ZGC, size the heap for the container and fix the allocation hotspots in code.
Usually incrementally. The application is first upgraded to a supported Java version and build tooling, then characterization tests are added around critical flows. Modules are moved to Spring Boot one at a time, replacing EJBs and application-server configuration, and services are extracted only where a clear boundary exists.
Yes, for event-driven architectures, audit trails and decoupling services that process data at different speeds. Designs cover partitioning keys, consumer group scaling, idempotent producers and handling of poison messages, because those choices decide whether ordering and delivery behave as the business expects.
By making fetching explicit. Associations default to lazy loading, queries that need related data use fetch joins or entity graphs, and SQL logging is enabled in tests to catch N+1 queries early. For heavy reporting, plain SQL or projections are often clearer than forcing everything through entities.
Yes. Modern JVMs respect container memory and CPU limits, and heap settings can be expressed as a percentage of available memory. Class data sharing, layered images and, where startup time matters, GraalVM native images help Java services scale quickly on Kubernetes.
Both run on the same JVM and interoperate fully, so the choice is mostly about your team. Java suits organizations standardized on it with large existing codebases. Kotlin offers null safety and more concise syntax, and fits well with Spring Boot, so some teams introduce it gradually for new modules.