About the role:

Lemon.io is a curated marketplace that connects startups and scaleups with pre-vetted senior software engineers. Founded in 2015 in Kyiv, the company has grown to 60+ people, 1,500+ vetted developers across 40+ countries, and ~2.3 million cumulative work-hours logged on the platform.

We're hiring our first engineer to own a brand-new internal data platform from zero: designing and building how we gather, structure, and surface developer intelligence so the business can match faster, smarter, and at scale. This is a founding, senior/staff-level role. You won't inherit a codebase or join a squad – you'll make the architectural decisions, pick the stack, and ship the first version. You'll work directly with stakeholders across the whole org to understand what data matters most and build the system that makes it valuable.

Responsibilities:

📍Own a brand-new internal data platform from zero — design and build how developer intelligence is gathered, structured, and surfaced across the business. 📍Make architectural decisions, pick the stack, and ship the first version of the platform. 📍Design and implement data pipelines covering ingestion, cleaning, enrichment, and serving. 📍Work directly with stakeholders across the organisation to understand what data matters most and translate that into technical solutions. 📍Build and maintain search and indexing systems, relational databases, and cloud infrastructure independently.

Requirements:

📍Hands-on experience building data/platform products (not just consuming data – creating and designing how it's collected, structured, and served). 📍At least one 0 → 1 greenfield build – took something from "nothing exists yet" to a working system in production. 📍Strong backend foundation – can make architectural decisions and own them. 📍English B2 or higher. 📍Strong written and verbal communication – can articulate technical decisions to non-technical people and drive alignment async. 📍Data pipeline design and implementation – ingestion, cleaning, enrichment, serving. 📍Search and indexing systems (Elasticsearch or similar). 📍Relational databases (PostgreSQL or similar). 📍Cloud infrastructure (AWS, GCP, or Azure) – can provision and operate services independently. 📍System architecture – can design a platform from scratch and make defensible trade-offs.

Nice-to-have: 📍Track record of working directly with non-technical stakeholders (product, ops, leadership). 📍Reasonable infrastructure experience. 📍ML/AI experience (embeddings, NLP, classification). 📍ETL orchestration tools (Airflow, dbt, Dagster). 📍Data warehouse experience (BigQuery, Snowflake, Redshift).

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