Capability statement

What we do,
in full.

A complete view of where we work, what we deliver, and how engagements are structured. Written for the person who has to justify the decision internally.

Backlit engineering schematic of a computer circuit

At a glance

Core focus
Cloud architecture, platform engineering, reliability, and security for organisations running on AWS, Google Cloud and Azure.
Engagement model
Remote, contract or corp-to-corp. Fixed-scope projects, retained advisory, or embedded delivery alongside your team.
Seniority
Every engagement led by an engineer with 20+ years of production experience. No pyramid staffing.
Delivery format
Infrastructure as code in your repositories, documentation, and a handover session. You own all of it.
Typical start
A scoped first piece of work, usually two to six weeks, that stands on its own and proves the fit.

Core competencies

What we are engaged to do.

Cloud architecture and landing zones

Organisation and account structure, network topology, identity and access design, and the guardrails everything else inherits. Delivered as Terraform, with the decisions written down.

  • Multi-account and multi-project foundations
  • Network and connectivity design
  • Identity federation and IAM models
  • Migration planning and execution
  • Cost structure and tagging discipline

Platform and DevOps engineering

The paved road your engineers actually want to use: reproducible environments, pipelines that tell the truth, and self-service that does not require a ticket.

  • Terraform modules and reusable patterns
  • CI/CD pipeline design and hardening
  • Kubernetes platform build and operations
  • Developer self-service tooling
  • Release and environment strategy

Reliability and SRE

Turning uptime from a hope into a measured property. Service levels defined against what users actually feel, with the observability to prove it.

  • SLI and SLO definition
  • Observability, tracing and alerting
  • Incident response and postmortem practice
  • Sustainable on-call design
  • Capacity and failure testing

Cloud migration

On-premises to cloud, datacentre exits, database migration and large-scale data transfer, planned so every step is reversible and the cutover is the least interesting part.

  • Discovery and dependency mapping
  • Rehost, replatform or refactor decisions
  • Enterprise database migration with CDC
  • Petabyte-scale data transfer
  • Hybrid operation during transition

Cybersecurity and DevSecOps

Security as an operating capability: detection and response tuned to your estate, and a delivery pipeline that catches vulnerable code before production does.

  • Security operations and SIEM design
  • Incident response and tabletop exercises
  • CI/CD security gates and secrets hygiene
  • Software supply chain integrity
  • Vulnerability management programmes

Software development

Web, desktop, mobile and firmware from one senior team: TypeScript, Python, Go, Java, C#, Swift, Kotlin, Flutter and the rest of the modern production stack.

  • Web apps in React, Next.js, Vue and Angular
  • iOS, Android and cross-platform mobile
  • Desktop software for macOS, Windows and Linux
  • Backend APIs in every major language
  • Embedded firmware in C, C++ and Rust

Systems integration

Connecting platforms, products and data into one dependable system: APIs, events, ERP and CRM integration, legacy bridges and identity.

  • Salesforce, SAP, NetSuite and Dynamics integration
  • Event backbones with Kafka and Pub/Sub
  • Legacy and on-premises bridges
  • SSO with SAML, OIDC and SCIM
  • Idempotent, monitored, reconciled pipelines

UI and UX design

Product design from research to pixel: discovery, flows, high-fidelity UI, design systems and usability testing, WCAG 2.2 AA throughout.

  • UX research and product discovery
  • Figma design systems and component libraries
  • Prototyping and moderated usability testing
  • Accessibility to WCAG 2.2 AA
  • Engineering handoff that holds

Electronics, PCB and IoT

Electronic product development from schematic to certified production: circuit design, PCB layout, embedded firmware, connectivity and enclosures.

  • Schematic capture and PCB layout
  • Firmware on STM32, ESP32 and Nordic
  • WiFi, BLE, LoRaWAN and cellular IoT
  • Enclosure design and thermal engineering
  • EVT, DVT, PVT and certification readiness

Mechanical engineering

CAD, simulation and design for manufacture: parts and assemblies that work, survive and can be built at your volume for a sane price.

  • SolidWorks, Fusion 360 and Onshape CAD
  • FEA, thermal and tolerance analysis
  • Design for CNC, moulding and sheet metal
  • Rapid prototyping and iteration
  • GD&T drawings and production BOMs

AI, LLM and machine learning

AI systems built for production: frontier APIs or self-hosted open models, retrieval-augmented generation, agents, fine-tuning and the evaluation discipline that keeps them honest.

  • Claude, GPT, Grok, Gemini and Mistral APIs
  • Self-hosted models with vLLM and Ollama
  • RAG pipelines with citation grounding
  • AI agents with guardrails and audit trails
  • Evals, tracing and cost engineering

Robotics and embodied AI

Machines that sense, decide and act: perception, ROS 2 software, motion control, simulation and edge AI, from invention to field deployment.

  • Computer vision and sensor fusion
  • ROS 2, Nav2 and MoveIt
  • Gazebo and Isaac simulation
  • Edge AI on NVIDIA Jetson
  • AMRs, drones and fleet operations

Data engineering and pipelines

ETL, ELT, streaming and the lakehouse: data that arrives on time, passes its tests and gives the business one version of the truth.

  • Airflow, Dagster and dbt pipelines
  • Kafka and Flink streaming
  • Change data capture with Debezium
  • BigQuery, Snowflake and Databricks
  • Data quality, contracts and lineage

Security and compliance

Least privilege that survives contact with delivery pressure, and control evidence that is produced by the system rather than assembled the week before an audit.

  • IAM and least-privilege design
  • Policy as code and guardrails
  • Secrets management and key handling
  • Audit readiness and control mapping
  • Security review of existing estates

Certifications

Credentials on every platform we work on.

Certifications held by our engineers. Every engagement is led by someone holding professional or expert level credentials on the platform you run.

Amazon Web Services AWS Certified Solutions Architect - Professional Professional
Amazon Web Services AWS Certified DevOps Engineer - Professional Professional
Amazon Web Services AWS Certified Security - Specialty Specialty
Amazon Web Services AWS Certified Advanced Networking - Specialty Specialty
Microsoft Azure Microsoft Certified: DevOps Engineer Expert (AZ-400) Expert
Microsoft Azure Microsoft Certified: Solutions Architect Expert (AZ-305) Expert
Google Cloud Google Cloud Professional Cloud Architect Professional

Technical environment

Cloud
Amazon Web Services, Google Cloud Platform, Microsoft Azure
Infrastructure as code
Terraform, OpenTofu, CloudFormation, Pulumi
Containers and orchestration
Kubernetes, EKS, GKE, AKS, ECS, Cloud Run
CI/CD
GitHub Actions, GitLab CI, Argo CD, Jenkins, Cloud Build
Observability
Prometheus, Grafana, OpenTelemetry, Datadog, Cloud-native stacks
Data and storage
PostgreSQL, managed SQL services, object storage, backup and recovery design

Why teams pick us

You get the senior engineer

Not a sales team followed by whoever is on the bench. The person in the first call is the person in the pull request.

Priced without the overhead

A lean remote team has no offices, no bench and no layers to fund, and that shows up in what we charge.

Built to be handed over

Every engagement ends with your team able to run and extend the work. That is the deliverable, not a retainer.

Honest about fit

If your problem is smaller than you feared, or outside what we do well, we tell you in the first conversation.

Ready to scope something?

Bring the messy version. Scoping it properly is part of the work.