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Arixent

Product Engineering

Cloud, DevOps & Quality Engineering

Releases become risky when infrastructure changes are manual and tests cannot catch failures before customers do. We build delivery automation, observable cloud environments and application tests, including evaluation for AI features.

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Overview

Cloud is where your product lives, and how it is built determines uptime, security, cost and how fast your team can ship. We design cloud architectures, automate infrastructure and build the delivery pipelines and reliability practices that let engineering teams release with confidence.

Our approach is pragmatic: infrastructure as code, managed services where they make sense, observability from the start and cost treated as an engineering metric rather than a finance surprise.

This page also covers the quality engineering and test automation that keeps every release safe to ship.

This service is part of Product Engineering, our broader practice for this work.

Offering 1

Cloud engineering and DevOps

How your cloud infrastructure is built determines uptime, security, cost and how fast your team can ship. We design architectures and automate infrastructure and delivery.

Cloud architecture and migration

Landing zones, network and identity design, migration of workloads to AWS, Azure and GCP.

Infrastructure as code

Terraform and cloud-native tooling for repeatable, reviewed environments.

Containers and Kubernetes

Cluster design, service deployment, autoscaling and hardening.

Reliability engineering

Observability, SLOs, incident response practices and resilience testing.

Typical use

  • Products moving from a single server to a resilient cloud architecture
  • Teams whose releases are slow, manual and risky
  • Migrations from on-premises or between cloud providers

Offering 2

Quality engineering and test automation

Quality is not a phase at the end. It is a set of practices that run through the whole delivery, with tests written alongside the code and pipelines that block bad builds.

Engineers tracking a running test on a wall of monitors

Test strategy and quality engineering

Right-sized testing across unit, integration, contract, end-to-end and exploratory levels.

Test automation frameworks

Maintainable automation for web, mobile and APIs integrated with CI/CD.

Performance and load testing

Capacity, scalability and bottleneck analysis under realistic traffic.

AI and data quality testing

Evaluation harnesses for LLM features and validation of data pipelines.

Typical use

  • Products where releases are slowed by manual regression testing
  • Teams adopting continuous delivery that need a safety net
  • Applications preparing for a high-traffic launch or seasonal peak

Want this for your product? Talk to an engineer who has built it.

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How we work

How we deliver

  1. 01

    Assess

    Architecture, delivery process, reliability and cost review with clear findings.

  2. 02

    Design

    Target architecture, tooling, pipelines and operating practices.

  3. 03

    Implement

    Infrastructure as code, pipelines, observability and migrations delivered incrementally.

  4. 04

    Operate

    Handover to your team or managed operations with defined SLOs.

Stack

Tools we work with

We are neutral on tooling and pick what fits your environment, your team and the cost you can sustain.

  • AWS, Azure, GCP
  • Terraform, Pulumi, CloudFormation, Bicep
  • Kubernetes, EKS, AKS, GKE, Helm, ArgoCD
  • Docker
  • GitHub Actions, GitLab CI, Jenkins
  • Datadog, Grafana, Prometheus, OpenTelemetry, ELK
  • Playwright, Cypress, Selenium
  • k6, JMeter, Gatling
  • OWASP ZAP, Snyk, Dependabot

Bring the problem. We bring the team.

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Industries

Where we apply this most

Relevant domain requirements include Banking, Financial Services & Insurance and Retail & E-commerce.

Financial charts layered over a blue city skyline
Banking, Financial Services & InsuranceDocument intelligence, risk models, fraud detection and modern digital banking experiences.Explore
Shopper checking her phone while picking fruit in a grocery store
Retail & E-commercePersonalization, demand forecasting, search and customer data platforms.Explore
Clinician in scrubs using a tablet in a hospital corridor
Healthcare & Life SciencesClinical documentation, patient engagement, imaging AI and compliant data platforms.Explore
Wireless network links glowing over a city at night
Telecom & MediaNetwork analytics, churn prediction, content recommendation and OSS/BSS modernization.Explore

FAQ

Questions we hear often

The one that fits your existing skills, data gravity and commercial position. We work across the major providers and advise without bias.

Identity-first design, least privilege, network segmentation, encryption, secrets management, automated compliance checks and logging that supports investigation.

Yes, under a managed engineering arrangement with agreed SLOs, or we hand over fully to your team with runbooks and training.

Enough to release with confidence without a manual regression cycle. We prioritize by risk and change frequency rather than chasing a coverage number.

Related services

You may also need

Custom Software, SaaS & Mobile: Web platforms, multi-tenant SaaS and mobile apps built to your requirements.

Modernization & Managed Engineering: Re-platform, re-architect and keep shipping, with a team that runs the product after launch.

Data Engineering & Platform Modernization: Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.

Custom Software, SaaS & Mobile

Web platforms, multi-tenant SaaS and mobile apps built to your requirements.

Learn more

Modernization & Managed Engineering

Re-platform, re-architect and keep shipping, with a team that runs the product after launch.

Learn more

Data Engineering & Platform Modernization

Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.

Learn more

Next step

Ready when you are.

Tell us what you are trying to build and we will come back with a point of view, not a pitch.

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