Most enterprise software is slow, rigid, and expensive. We are building the alternative: small, senior teams that ship purpose-built solutions in months, not years.

We deliver working products, not slideware. We unbreak enterprise software by partnering directly with users, owning outcomes end-to-end, and using our internal AI delivery blueprint for repeatable speed and quality.

The Role

You’ll own the whole lifecycle, analyze → design → implement → release → operate, applying systems thinking to model dependencies and choose high-leverage solutions, 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 Do

Build 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.
Own the solution. Reliability, scalability, performance, availability.
Work directly with the clients: clarify requirements, validate solutions, and close the loop. Fast.
Document clearly and present effectively to technical and non-technical stakeholders.

Required Skills

Senior-level expertise in designing, engineering, and implementing large-scale solutions. Node.js + TypeScript, React/Next.js, PostgreSQL; Python; .NET or anything else of your taste
Data 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 excellent
Systems thinking mindset; comfortable writing specs, design docs, ADRs, etc.
Excellent written and verbal communication; ability to analyze, design, solution, and present
Experience building internal platforms or templates that speed up other engineers

Typical Stack

Languages / Frameworks: Node.js, TypeScript, Python, .NET,
Data: PostgreSQL, ClickHouse, Redis, Airflow
Messaging/Streaming/Workflows: Kafka, Temporal
Cloud / Edge: GCP, Azure or AWS is OK but our love goes to Cloudflare (Workers, Durable Objects, KV, R2, etc.)
Infra/Tooling: Docker, GitHub Actions, IaC (Terraform),

Perks and Benefits

Competitive salary + bonus; equity where applicable.
Up to 28 days PTO (location-based); high-end laptop + tools; learning budget; extensive AI tooling.
Remote-first (GMT-1 to GMT+4) with occasional travel.
BYOTS: bring your own tech stack—sane defaults, strong opinions, low ceremony.

The Process

Getting to know each other (30m)
Technical discussion (45m)
System design challenge (60–90m)
Offer

→ No leetcode. No trivia. No BS.

FAQ

Remote? Yes, anywhere GMT-1 to GMT+4.
Visa? Case by case.
Tech stack? Whatever works; we prefer JS/TS + Python (see stack above). .NET or Ruby sometimes happens.
AI tools? Extensively.
Work-life? Work hard. Rest well. No weekends unless prod is on fire.
Growth path? Build products → Lead practices → Build the company.
Who shouldn’t apply? Process evangelists, architecture astronauts, meeting enthusiasts, or anyone needing constant supervision.

Equal Opportunity

We’re an equal opportunity employer. We evaluate only on the ability to ship great software.