Engineer
The technology we build on
Nevarix engineers on a modern, open, vendor-neutral stack — cloud and containers, data and AI, integration, security, and the delivery pipelines that keep all of it shipping. This is the technology underneath every engagement, and the standards we hold it to.
— Applied Intelligence
AI & Machine Learning
Production AI rather than pilots — retrieval pipelines grounded in your own data, models evaluated against real tasks, and inference that runs inside your security boundary.
- Retrieval-augmented generation over enterprise content
- Copilot and agent development on business systems
- Model selection, evaluation, and guardrails
- MLOps pipelines and model lifecycle management
- Private inference within your cloud tenancy
- Azure AI
- OpenAI
- Amazon Bedrock
- Hugging Face
- LangChain
- PyTorch
- TensorFlow
- scikit-learn
- NVIDIA
— Platform Engineering
Cloud & Containers
Landing zones, container platforms, and infrastructure as code — built so environments are reproducible and cost is visible from day one, not reconciled at the end of the quarter.
- Cloud landing zones and tenancy design
- Kubernetes platform build and hardening
- Infrastructure as code and environment automation
- Service mesh and workload networking
- Migration and re-platforming of legacy workloads
- Microsoft Azure
- AWS
- Google Cloud
- Kubernetes
- Red Hat OpenShift
- Docker
- Terraform
- Helm
- Istio
- Podman
— Data Engineering
Data & Analytics
Lakehouse architectures, streaming pipelines, and modelled warehouses — the layer that has to be right before analytics or AI is worth building on top of it.
- Lakehouse and medallion architecture
- Streaming and change-data-capture pipelines
- Dimensional modelling and semantic layers
- Data quality, lineage, and governance
- Migration from legacy warehouses
- Microsoft Fabric
- Databricks
- Snowflake
- Apache Spark
- Apache Kafka
- Apache Airflow
- PostgreSQL
- ClickHouse
- Elasticsearch
- Redis
— Connected Systems
Integration & APIs
The seams between ERP, CRM, and everything else — event-driven where it needs to be, contract-first everywhere, and observable when something downstream breaks.
- API design, gateways, and contract-first delivery
- Event-driven and message-based architecture
- iPaaS and enterprise integration patterns
- Business process orchestration
- Legacy system and B2B connectivity
- Boomi
- MuleSoft
- Power Platform
- Camunda
- n8n
- Apache Kafka
- RabbitMQ
- GraphQL
- OpenAPI
— Trust & Assurance
Cybersecurity
Identity-first security across the estate — least privilege enforced in code, secrets never in config, and detection wired into the same pipelines that ship the software.
- Zero-trust and identity architecture
- Secrets management and key rotation
- Cloud posture and workload protection
- Application security testing in CI
- Detection engineering and SOC integration
- Microsoft Defender
- CrowdStrike
- Palo Alto Networks
- HashiCorp Vault
- Keycloak
- SonarQube
- OpenSSL
— Delivery & Operations
DevOps & Observability
Pipelines that deploy safely and telemetry that explains failures — so releases stop being events and incidents stop being investigations.
- CI/CD pipeline design and release automation
- GitOps and progressive delivery
- Configuration management at scale
- Metrics, logs, and distributed tracing
- SLOs, alerting, and incident response
- GitHub
- GitHub Actions
- GitLab
- Jenkins
- Argo
- Ansible
- Grafana
- Prometheus
- OpenTelemetry
- Datadog
- Dynatrace
- Sentry
— Languages & Runtimes
The languages our delivery teams write production code in every day.
- Python
- TypeScript
- Node.js
- .NET
- React
- Go
— Across Every Sector
The same stack, shaped to the workload
- 01
Manufacturing
Shop-floor telemetry, predictive maintenance models, and ERP-connected production planning.
- 02
Retail
Demand forecasting, unified commerce integration, and real-time inventory across channels.
- 03
Wholesale Distribution
Order orchestration, warehouse automation, and margin analytics across high-volume catalogues.
- 04
Logistics
Fleet and shipment telemetry, route optimisation, and document processing automation.
- 05
Professional Services
Project and resource analytics, proposal automation, and utilisation reporting.
- 06
BFSI
Fraud detection pipelines, regulated data platforms, and auditable AI decisioning.
— Engineering Principles
How we choose, and how we build
Vendor-neutral by default
We hold alliances with Microsoft, AWS, and Sapience, and still pick the technology that fits the problem. Where a managed service is the right answer we say so; where open source is, we say that too.
Everything as code
Infrastructure, pipelines, policy, and environments are defined in version control and reviewed like application code — so environments are reproducible and changes are auditable.
Upgrade-safe extension
Platforms get extended through their supported extension points rather than customised at the core, which is what keeps vendor release cycles from turning into migration projects.
Observable before it ships
Metrics, logs, and traces are part of the definition of done. If a service can't be explained in production, it isn't finished.
— Get Started
Bring us an engineering problem
Whether it's a lakehouse that needs designing, a Kubernetes platform that needs hardening, an AI pilot that needs to reach production, or a pipeline that needs to stop breaking — we can help.