The RoleYou’ll own the whole lifecycle, analyze → design → implement → release → operate, applying systems thinking to model dependencies and identify leverage points in the system, making clear engineering decisions to turn ambiguity into shippable software.
You’ll collaborate directly with customers, clients, and teammates to clarify problems, present designs and trade-offs in writing and demos, and communicate crisply throughout execution.
What You’ll DoBuild with AI: use generative tools, evals, and our components; contribute new patterns back into our blueprint.
Engineer solutions and make decisions: evaluate trade-offs, pick patterns, make the architecture designs, develop and commit.
Pair daily with product and design; turn ambiguous problems into shippable increments.
Build scalable services, APIs, data pipelines, and frontends; instrument, observe, and optimize them in prod.
Reliability, scalability, performance, availability.
Work directly with the clients: clarify.
Document clearly and present effectively to technical and non-technical stakeholders.
Required SkillsSenior-level expertise in designing, engineering, and implementing large-scale solutions.
js + TypeScript, React/Next.
js, PostgreSQL; Python; Rust or anything else of your tasteData and systems fundamentals: schema design, pragmatic caching, event-driven architectures (Kafka/Redis)Cloud and edge: AWS or Azure; Cloudflare (Workers/Durable Objects/KV) experience is excellentSystems thinking mindset; comfortable writing specs, design docs, ADRs, etc.
Excellent written and verbal communication; ability to analyze, design, solution, and presentExperience building internal platforms or templates that speed up other engineersTypical StackLanguages / Frameworks: Node.
js, TypeScript, Python, Rust or RubyData: PostgreSQL, ClickHouse, Redis, AirflowMessaging/Streaming/Workflows: Kafka, TemporalCloud / Edge: GCP, Azure or AWS is OK b.