Need expertise in one of these areas?
Capabilities
Technical expertise across the full stack, from low-level systems to distributed architectures.
System Architecture
- Distributed system design and microservices architecture
- API design (REST, GraphQL, gRPC) and integration patterns
- Event-driven architecture and message queue systems
- Database design, schema evolution, and data modelling
- Legacy system modernisation and migration strategies
Platform Engineering
- Cloud infrastructure (AWS, Azure, GCP) and IaC (Terraform, CloudFormation)
- Datacenter and colocation facility management, hybrid cloud architectures
- Kubernetes cluster design, operations, and service mesh
- CI/CD pipeline design (GitHub Actions, GitLab CI, Jenkins)
- GitOps workflows (ArgoCD, Flux) and deployment automation
Software Development
- Go, Python, TypeScript/Node.js, Rust, Java, C#
- PostgreSQL, MySQL, Redis, MongoDB, Elasticsearch
- Message queues (Kafka, RabbitMQ, SQS)
- Test-driven development and code review practices
- Performance profiling, optimisation, and technical documentation
Reliability Engineering
- Observability: metrics (Prometheus, Grafana), logging (ELK, Loki), tracing (Jaeger, OpenTelemetry)
- Incident response, on-call processes, and post-incident reviews
- Load testing, capacity planning, and performance bottleneck identification
- SLO/SLI definition and tracking
- Disaster recovery and business continuity planning
Security & Compliance
- Threat modelling, security architecture review, and hardening
- Secrets management (Vault, AWS Secrets Manager) and certificate lifecycle
- OAuth 2.0, SAML, SSO integration, and RBAC implementation
- SOC 2 Type II, HIPAA, PCI DSS, and GDPR compliance
- Compliance automation and security policy development
AI & Machine Learning
- LLM integration and prompt engineering for production applications
- AI/ML infrastructure and model deployment pipelines
- Vector databases and semantic search implementation
- RAG (Retrieval-Augmented Generation) systems and agent frameworks
- AI safety, guardrails, and responsible AI implementation
Technical Leadership
- Technology strategy, roadmap development, and technical due diligence
- Engineering process design, team structure, and scaling
- Hiring, mentorship, and engineering culture development
- Agile implementation and knowledge sharing practices
- Fractional CTO services