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Back-end

Java for production

Enterprise services for high-volume, regulated and integration-heavy environments.

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300+ projects delivered

Overview

Java with a clear purpose.

Use Java where it creates a clear engineering advantage, with architecture, delivery and support designed around the product you need to own.

We use this technology as part of an architecture, not in isolation. Interfaces, data, infrastructure, security, testing and operational ownership are designed together.

Business challenges

Business challenges we solve.

The engagement begins with the operating problem and a measurable baseline, not a predetermined tool.

  • Critical data is trapped across disconnected systems

    Addressed through api and service architecture, with the baseline and owner agreed before delivery.

  • APIs cannot support new products or agent actions safely

    Addressed through model and agent orchestration, with the baseline and owner agreed before delivery.

  • Performance and reliability decline as usage grows

    Addressed through data pipelines and system integrations, with the baseline and owner agreed before delivery.

  • Permissions, audit trails and operating costs are hard to see

    Addressed through security, observability and cost controls, with the baseline and owner agreed before delivery.

Solutions

What we can build with Java.

Representative solution types - the right starting point depends on your users, systems and operating constraints.

  • Secure business APIs

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

  • Agent and model orchestration

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

  • Event-driven workflows

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

  • Data and integration services

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

  • Identity and access layers

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

  • High-volume operational platforms

    Designed around the workflow, users, integrations, data and measurable outcome required in your environment.

Aarvik capabilities and delivery capacity.

Aarvik brings strategy, product, design, engineering, AI, quality and operations together across teams in the UAE and India.

  • 80+designers and developers
  • 300+projects delivered
  • 4offices across the UAE and India

Scope

Scope of services.

Strategy, design, engineering, integration, modernization and support are scoped around the outcome and ownership model.

  • API and service architecture

    Included with clear ownership, acceptance criteria, documentation and handover.

  • Model and agent orchestration

    Included with clear ownership, acceptance criteria, documentation and handover.

  • Data pipelines and system integrations

    Included with clear ownership, acceptance criteria, documentation and handover.

  • Security, observability and cost controls

    Included with clear ownership, acceptance criteria, documentation and handover.

Engineering foundation

Technology stack and integrations.

The final stack follows the workload, existing estate, team capability, security and ownership model.

  • Python
  • Node.js
  • Java
  • .NET
  • Golang
  • PostgreSQL
  • Redis
  • Kafka
  • REST
  • GraphQL

Applied AI

AI-native, with human control.

Our back ends orchestrate models and tools, enforce permissions, retain audit trails and keep AI actions inside deterministic business rules.

  • Grounded data
  • Scoped access
  • Human approval
  • Evaluation and audit

Process

A delivery flow that keeps risk visible.

  1. 01

    Frame

    Agree the outcome, constraints, baseline and decision owners.

  2. 02

    Design

    Map the experience, architecture, data flows, controls and delivery plan.

  3. 03

    Deliver

    Build and validate in short releases with visible demonstrations and acceptance criteria.

  4. 04

    Run

    Release with observability, documentation, support and a measured improvement backlog.

People

Relevant Aarvik specialists.

A representative team for this capability. Final staffing follows the scope and availability.

Meet the full team

  • Vikram TKV

    CTO

  • G Rabi Kumar

    Project Manager

  • Madatha Satish Siddiram

    Senior Software Engineer

  • Avashesh Jaiswal

    Senior Software Engineer

Engagement models

Choose the right way to engage.

Start small, commission a complete delivery team, or add specialists to your own team.

  • Best for an unclear opportunity or a high-risk assumption

    Discovery or proof sprint

    • Workflow and requirement map
    • Feasibility and architecture
    • Prototype or technical spike
    • Roadmap and delivery estimate
    Talk to us

  • Best for an outcome with defined ownership and releases

    Managed project team

    • Cross-functional Aarvik team
    • Milestones and working demos
    • Quality and security gates
    • Launch, handover and support
    Talk to us

  • Best for adding specialist capacity to an existing programme

    Team extension

    • Role and skill matching
    • Shared delivery practices
    • Transparent reporting
    • Knowledge transfer and continuity
    Talk to us

Industry fit

Java across industry workflows.

We adapt the same engineering discipline to the data, regulation, customer journey and operating reality of each sector.

Success measures

How success will be measured.

For Java, targets are agreed during discovery and reviewed after launch. Where verified project evidence is available, we present it separately as a case study.

  • Cycle time

    Baseline the time from request to completed outcome, then measure the change after release.

  • Quality and control

    Track defects, overrides, grounded answers, failed actions and approval outcomes.

  • Adoption

    Measure active use, task completion, abandonment and the points where people still need help.

  • Reliability and cost

    Monitor availability, latency, unit cost, incidents and recovery against agreed targets.

Related

Explore more in Back-end.

Adjacent capabilities that often form part of the same programme.

FAQ

Frequently asked questions

When is Java a good fit?

When its strengths match the workload, team and constraints. Discovery makes that decision explicit before a larger build begins.

Can Aarvik work with our existing team and systems?

Yes. We can lead a defined scope, embed specialists, or work alongside internal and vendor teams with shared quality gates.

How do you use AI in the engagement?

Our back ends orchestrate models and tools, enforce permissions, retain audit trails and keep AI actions inside deterministic business rules. We also use AI-assisted delivery behind review, testing and security controls.

What happens after launch?

We provide monitoring, documentation, knowledge transfer and an improvement backlog, with support matched to the system's importance.

How are scope, timeline and cost estimated?

After a focused discovery, we break the work into outcomes, dependencies and releases. The proposal states assumptions, team shape, milestones and what is outside scope.

Can we start with a smaller validation?

Yes. A discovery or proof phase can test the riskiest assumptions on representative data before you commit to full delivery.

Consultation

Discuss your java requirement.

Share a work email now. On the next page, add the workflow, systems, constraints and outcome you have in mind.

  1. 01We review the requirement

    No automated sales sequence or generic proposal.

  2. 02Discovery conversation

    We clarify the outcome, data, systems, risks and decision owners.

  3. 03Scoped next step

    You receive a recommended team, delivery path, assumptions and estimate.