Which cloud should we choose?

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

How do you approach security in the cloud?

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

Do you offer managed cloud operations?

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

How much automation is enough?

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

How do you test AI features?

With evaluation sets, judge models and human review sampled over time, integrated into CI so regressions are caught when prompts, models or data change.

Product Engineering

Cloud, DevOps & Quality Engineering

Cloud architecture, CI/CD, reliability and test automation that let teams release with confidence.

Talk to an engineer

See related work

Engineer checking a server rack with a laptop in a data center

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.

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.

Book a working session

How we work

How we deliver

01
Assess
Architecture, delivery process, reliability and cost review with clear findings.
02
Design
Target architecture, tooling, pipelines and operating practices.
03
Implement
Infrastructure as code, pipelines, observability and migrations delivered incrementally.
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.

Talk to an engineer

Industries

Where we apply this most

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

Related services

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.

Start a conversation

Cloud, DevOps & Quality Engineering

Cloud engineering and DevOps

Cloud architecture and migration

Infrastructure as code

Containers and Kubernetes

Reliability engineering

Quality engineering and test automation

Test strategy and quality engineering

Test automation frameworks

Performance and load testing

AI and data quality testing

How we deliver

Assess

Design

Implement

Operate

Tools we work with

Where we apply this most

Questions we hear often

You may also need

Custom Software, SaaS & Mobile

Modernization & Managed Engineering

Data Engineering & Platform Modernization

Ready when you are.