What we deliver
Services
Deep, hands-on expertise across the infrastructure stack — architecture through implementation, delivered by a principal architect who has done it in production.
data-lakehouse Data Lakehouse & AI Pipelines Open-standard lakehouse architecture on Apache Iceberg — engineered for ML/AI workloads, interactive analytics, and streaming ingestion at production scale. ›
- Apache Iceberg table format design and catalog management (Polaris)
- Trino and Spark query engine deployment, tuning, and optimization
streaming Data Engineering & Streaming Real-time and batch data movement connecting operational systems to your lakehouse or analytics layer — CDC pipelines, schema-aware ingestion, and reliable delivery at production throughput. ›
- Apache Kafka and Redpanda topic design, producer/consumer optimization, and partition strategy
- Apache NiFi complex pipeline configuration for enterprise data ingestion
backend API & Backend Engineering High-throughput async Python backends designed for production from the first commit. Event-driven, queue-backed, and built to survive sustained load. ›
- FastAPI microservices with async/await and Pydantic v2 validation throughout
- WebSocket servers and server-sent events for real-time data delivery
security API Security & Zero-Trust OWASP API top-10 hardening from design through deployment — BOLA prevention, mTLS service identity, and security testing automated into every CI/CD build. ›
- Broken Object Level Authorization (BOLA/IDOR) prevention and centralized authorization design
- Service-to-service authentication with mutual TLS (mTLS) and short-lived JWT tokens
data Databases & Distributed Storage High-availability database environments for workloads that cannot afford downtime — from distributed PostgreSQL to sharding strategy and zero-downtime migrations. ›
- PostgreSQL with Citus for horizontal scaling — shard key selection and query co-location strategy
- MariaDB / Galera multi-master replication for write-intensive, HA workloads
devops Cloud-Native & Platform Engineering Kubernetes clusters, Terraform infrastructure, and automated CI/CD pipelines — reproducible, auditable deployments across AWS, GCP, and Azure. ›
- HA Kubernetes / EKS / GKE / AKS cluster design and deployment
- Terraform infrastructure as code — reproducible, version-controlled, auditable
observability Observability & SRE Full-stack visibility from container metrics to distributed traces. Know what your system is doing before your users do. ›
- Grafana, Prometheus, InfluxDB, and Telegraf metrics stacks
- OpenTelemetry distributed tracing across microservices and service meshes
networking Ingress & Traffic Management Enterprise-grade ingress for Layer 4 and Layer 7 traffic. Precision load balancing, WAF integration, and dynamic backend management at the edge. ›
- HAProxy cluster design for high-availability, high-throughput ingress
- NGINX, Kong, Traefik, and Envoy deployment and configuration
ai-strategy AI Tool Strategy & Integration AI tools are malleable — shaped by the contract you give them. We help engineering teams build living working agreements that keep AI tools calibrated to the project's ethos, decisions, and constraints across every session. ›
- AI tool contract design: encoding project ethos, decision procedures, and constraints into durable artifacts (CLAUDE.md, system prompts, ADRs)
- Living contract stewardship — calibration process design so the working agreement evolves with the project
Don't see exactly what you need?
If it lives in the infrastructure stack, we've probably built it. Let's talk.