Engineering excellence
High craft standards, peer review and architectural rigor as the default culture.
Careers
Engineering culture for modern infrastructure.
A craft-driven engineering organization focused on AI systems, platform foundations and operational excellence — built for engineers who care about long-term systems.
Culture principles
A culture built around engineering depth
Six principles that shape how we work, learn and build together.
Modern infrastructure culture
Cloud-native, IaC and platform engineering practiced — not preached.
AI engineering mindset
Applied AI treated as a core engineering discipline, not an experimental side-track.
DevOps as a posture
Shared ownership of build, deploy and operate across the engineering organization.
Continuous learning
Time and structure reserved for deep technical growth, not just delivery.
Operational rigor
On-call, observability and post-incident learning as part of the craft.
Engineering values
What we evaluate ourselves against
Values that show up in code review, architecture decisions and production behavior.
Architecture-first
Clarity of design precedes implementation choices and tooling debates.
Pragmatic modernization
We modernize with intent — not for novelty, not against legacy.
Security by default
Threat modeling and least privilege are part of how we ship, not how we review.
Observability everywhere
If it runs in production, it is instrumented, traced and alertable.
Long-term thinking
Decisions evaluated against years of operation, not weeks of velocity.
Respect for craft
Engineering depth, mentorship and code quality are treated as first-class outcomes.
Working philosophy
How we operate
A remote-friendly engineering organization with hybrid moments reserved for deep technical work.
Remote-friendly by design
Async-first communication, written decision-making and distributed collaboration.
Hybrid where it matters
In-person time reserved for architecture, alignment and deep technical work.
Outcome-oriented
Engineering progress measured by systems shipped and stewarded — not hours logged.
Sustainable pace
On-call rotations, recovery time and load awareness designed into the operating model.
Future opportunities
Engineering domains we'll be hiring into
No active listings yet — but these are the disciplines we are building around. Open to introductions.
AI Engineering
Production AI systems, retrieval architectures and agentic orchestration.
- LLM systems
- RAG pipelines
- Evaluation tooling
Future opportunities — open expressions of interest.
Platform Engineering
Internal developer platforms, infrastructure abstractions and golden paths.
- IaC
- Kubernetes
- Developer experience
Future opportunities — open expressions of interest.
Site Reliability
Reliability engineering for production AI and infrastructure workloads.
- SLOs
- Observability
- Incident response
Future opportunities — open expressions of interest.
Security Engineering
Zero-trust architecture, governance tooling and compliance automation.
- Zero trust
- Policy-as-code
- Threat modeling
Future opportunities — open expressions of interest.
Data Engineering
Data platforms for analytical, operational and AI workloads.
- Streaming
- Lakehouse
- Governed data products
Future opportunities — open expressions of interest.
No active listings yet. Reach out to introduce yourself.
Talent
Introduce yourself
If our engineering approach resonates, we'd like to hear from you. Send a short note and your work — we read everything.