Small teams, high ownership, minimal handoffs
Fast, iterative delivery with an emphasis on sound system design
Pragmatic decision-making over over-engineering
Engineers are expected to operate across the stack, not within silos
Infrastructure as Code (e.g., Terraform)
CI/CD and modern DevOps practices
API design (REST, GraphQL, event-driven systems)
Messaging systems (e.g., Kafka, SQS), Event sourcing, CQRS patterns
Data modeling (SQL and NoSQL)
Observability practices (logging, metrics, tracing)
Experience with one or more of the following languages: Python, TypeScript, Golang, Rust
Basic understanding of data engineering principles
You design services that are reused across multiple systems
You create clean abstractions that simplify downstream development
You balance speed with long-term maintainability
You improve system consistency and reduce fragmentation
You effectively use AI tools to increase speed without sacrificing quality