APIs, event-driven architectures and high-throughput services that behave predictably under real load — the systems model calls now sit inside.
- Java
- Kotlin
- Scala
- APIs
- Kafka
- event-driven systems
- high-throughput services
Services
Engineering services for difficult production systems.
From AI systems to high-throughput distributed systems, SteerScale works on software where reliability, scale and technical judgement matter more than adding another development team.
Engineering services
Four service groups. One senior engineer.
Production infrastructure built for measurable reliability: Kubernetes, cloud platforms, performance, observability, capacity and resilience.
- AWS
- Azure
- Kubernetes
- performance
- observability
- scalability
- resilience
SVC-03
AI Systems Engineering
Build and operate LLM and agent systems as production software — with evaluation, observability, reliability and economics designed in rather than bolted on.
- LLM architecture
- agents
- RAG
- tool integration
- routing
- evals
- observability
- hardening
Architecture reviews, written decision records, technical roadmaps, interim tech-lead cover and hands-on mentoring — from an engineer who still ships production code.
- architecture review
- ADRs & design docs
- technical roadmaps
- tech lead cover
- mentoring
- build vs buy
Productized engagements
Fixed scope, fixed price, defined output.
Bounded diagnostic engagements for teams that want evidence before committing engineering time.
How engagements work
Short engagements. Clear deliverables. Real code.
- 01Written proposalOne page: goals, deliverables, cadence, fixed price or T&M, exit criteria.
- 02Embedded deliveryIn your repo and your standups. Code, design docs, ADRs, non-functional tests.
- 03Handoff & reviewWritten handoff, recorded walkthrough, follow-up window. Your team owns it after.