Systems Engineering

Engineering systems built for operations

Lifecycle engineering

YAVA designs and integrates mission-critical hardware and software systems for governments and infrastructure operators working in complex environments.

Our engineering teams develop operational systems from architecture through deployment and long-term support. Each platform is designed to integrate with existing infrastructure, meet regulatory and security requirements, and operate reliably under real-world conditions.

We support the full lifecycle of complex systems, including architecture design, integration, deployment, operational support and system upgrades, ensuring platforms remain resilient, secure and aligned with evolving operational needs.

Engineering Capability Stack

Backend: Python, Java, C#, Go, Node.js / TypeScript

Frontend: TypeScript, React, Next.js

Mobile (when required): React Native, Flutter

Scripting & Automation: Python, Bash, PowerShell

OT / Edge Integration (where required): C / C++, Rust (selected components)
Relational: PostgreSQL, SQL Server, MySQL

Time-series: InfluxDB, TimescaleDB

Search / Indexing: Elasticsearch, OpenSearch

Streaming / Messaging: Kafka, RabbitMQ, MQTT

Cache: Redis

Lake / Warehouse Patterns: object storage + Parquet, lakehouse-style architectures

ETL / Orchestration: Airflow (or equivalent patterns), dbt-style transformations

GIS / Geospatial: PostGIS, GeoJSON, tiling and overlay pipelines
Python ML stacks (PyTorch, TensorFlow where required)

Model serving patterns (REST / gRPC inference, edge inference)

Computer vision pipelines for detection, tracking, and evidentiary playback

MLOps patterns: model versioning, monitoring, drift detection, retraining workflows
REST and GraphQL APIs

gRPC (where low-latency is required)

Webhooks and event-driven integration patterns

EDI / EDIFACT (where logistics / customs environments require it)

Identity integrations: SSO, LDAP / Active Directory, SAML, OIDC
Industrial protocols: OPC UA, Modbus TCP, DNP3

Grid / substation: IEC 60870-5-104, IEC 61850

Building systems: BACnet (where BMS integration is required)

Historians: OSIsoft PI–style integrations

Video: ONVIF, RTSP

Alarm and sensor integration patterns, including alarm correlation
Cloud: AWS, Azure, GCP (subject to client constraints)

On-prem and hybrid deployments for regulated environments

Containerisation: Docker, Kubernetes

Infrastructure as code: Terraform (or equivalent)

Linux-first server environments; hardened builds where required

Edge deployments for low-connectivity sites and remote assets

Offline-first and store-and-forward patterns for intermittent connectivity
Encryption in transit and at rest

Access control: RBAC and attribute-based patterns

Secrets and key management: KMS and vault patterns

Logging, SIEM integration, audit trails, evidentiary integrity

OT/IT segmentation and secure integration patterns

Backup, disaster recovery, redundancy, and failover design

Secure communications integration (where required)
CI/CD pipelines (GitHub Actions, GitLab CI, Azure DevOps patterns)

Automated testing (unit, integration, end-to-end)

Code quality and security scanning (SAST / DAST patterns)

Observability: metrics, logs, traces (Prometheus / Grafana-style stacks)

Structured release management, change control, and environment promotion
Requirements engineering and traceability

Architecture documentation and threat modelling

API specifications (OpenAPI / Swagger)

Runbooks, SOPs, and operator training packs

Maintenance, patching, and lifecycle management

Engineering Capabilities

Core technical strengths

Systems architecture and requirements engineering for complex, multi-stakeholder environments
Secure integration of operational technology (OT) and enterprise IT systems
Design and delivery of bespoke software platforms where off-the-shelf solutions are insufficient
Multi-vendor and multi-protocol integration across legacy and modern systems

Domain experience

Defence and military-adjacent systems, including command, control, and situational awareness
Telecommunications and networked infrastructure, including high-availability and low-latency systems
Energy, transport, ports, and aviation operational environments
Regulated and safety-critical systems requiring auditability and resilience

Advanced analytics, AI & automation

Computer vision for perimeter security, intrusion detection, crowding, and object tracking
Predictive analytics for asset health, incident likelihood, and operational risk
Intelligent workflow automation for incident management, approvals, and compliance reporting