Senior Backend Engineer (Node / NestJS)

Direct message the job poster from White Sand SRL

Founder, CEO @ White Sand | Creator of Data Dive Superbaking is an

AI-native startup

founded by engineers who have actually shipped complex products before. Our CEO has a long software career — from coding to leading hundreds — and together with our current tech lead, created

DataDive.tools , one of the most widely used SaaS platforms for Amazon sellers.

We’re now applying that same product discipline to a mobile app that blends

AI reasoning, real-world sensors, and structured UX

into something genuinely new. The first use case is our own best seller baking brand, but the underlying framework can power a new generation of

AI-driven mobile apps for physical-product companies . This is the ground floor of something

technically challenging, fast-moving, and real .

Why This Role Matters You’ll own critical backend modules for our chat-first assistant — systems that remember users, manage structured memory, and enforce safety through schemas and consent. You’ll define

reliability, performance, and developer experience , keeping the AI layer robust and future-proof.

Must-Haves

5+ years building

production Node / TypeScript

services end-to-end

Strong

systems thinking :

domain modeling, event lifecycles, idempotency, migrations

Code-quality leadership : SOLID, modular boundaries, DI, repository patterns, strict types

Testing strategy across

unit / integration / e2e , with CI discipline

Pragmatic

observability

(logs, tracing, metrics); debug without guesswork

Mentorship ability — elevate PRs, explain trade-offs, guide structure

Nice-to-Have / Learn-on-the-Job

Deep familiarity with

NestJS internals , TypeORM or Mongoose

OpenAI

integration and MCP-style tool orchestration

Security & governance for

schema-validated writes

and consented ops

AWS (Lightsail, Secrets), Docker, GitHub Actions; cost / latency awareness

What You’ll Do

Lead design and implementation of core entities and timelines

Evolve the

preference-resolution pipeline

(Profile / Preferences / Session)

Harden contracts for the single-envelope schema and enforce via tests / linters

Set standards for reliability, rollback, and performance budgets

Mentor other engineers and ensure architectural coherence

How We Work

Chat-first UX :

backend maintains state; UI stays light

Explicit environments :

clear separation of prod vs sandbox

We’re a highly technical team that values clarity, autonomy, and craftsmanship. We operate with

radical transparency

and live by our core values :

personal responsibility, direct honesty, bidirectional loyalty, fairness, ambition, continuous improvement, an action-oriented mindset, and data-driven rational thinking.

We move fast — not chaotic — with strong respect for design, testing, and clean architecture. Startup energy meets engineering discipline : perfect for those who love solving hard problems without bureaucracy.

We communicate in

English , primarily via Slack and Notion. Meetings are short and purposeful; most decisions are documented asynchronously. Code reviews are thoughtful and technical — if you can explain

why

your code exists, not just

what

it does, you’ll thrive here.

You’ll work directly with leaders who built

DataDive.tools , gaining exposure to real product strategy and large-scale AI integration. We’re already developing a second major product — an

E-commerce Performance Analytics platform

— so there’s room to expand into new domains and technologies.

We use AI everywhere — from generating type-safe scaffolding to analyzing prompts — but never on autopilot. At Superbaking, AI is a

power tool , not a substitute for thinking. We expect engineers to understand, challenge, and refine what the model suggests. If you want to

learn faster without losing ownership

of your code and decisions, you’ll fit right in.

Remuneration

Remuneration :

Weekly tax-free remittance of gross amount

Paid Time Off :

Eligible after 3 months (8.08 % of worked hours, cash-out anytime)

Work Mode :

Fully remote OR in person, depending on location; flexible hours

Reports To : Technical Team Lead

Automated Test

– short fundamentals screen

Work Test

– realistic task similar to our production work

Interview

– technical and culture fit discussion with the Team Lead (and sometimes the CEO)

About Us We’re building an

AI-native ecosystem

that redefines how physical-product brands interact with users — starting with baking, expanding to analytics, and powered by a team that loves to code. If you think in systems, write with care, and want to grow faster than most environments allow, you’ll fit right in.

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