Senior Engineer – Data Systems & Platform

Our Client

Our client is a global leader in Human Experience Management (HXM), enabling companies to hire, onboard, and pay talent in over 160 countries—without the need to set up legal entities. Through their own cloud-based platform and direct Employer of Record (EOR) model, they’re changing how businesses approach international expansion. With a truly global, diverse, and remote-first team, they are committed to making the future of work borderless, inclusive, and impactful.

About the Project

As a Senior Engineer on the Data Systems & Platform team, you'll build the data systems behind a global HR tech platform, in code. This is a software engineering role with a data mindset: you'll own pipelines, storage and the AI features built on top of them, end to end, and work directly with product and business stakeholders to turn their needs into simple, well-tested, cost-efficient systems.

Responsibilities:

• Design, build and maintain data systems and services in Python, TypeScript and SQL.
• Tune relational databases (Azure SQL / PostgreSQL): indexing, query plans, slow-query optimization.
• Build ingestion and storage on column-store and lakehouse formats (Parquet, Iceberg), with an eye on cost.
• Build serverless and streaming ingestion pipelines (e.g., Cloudflare Pipelines to R2).
• Build AI/LLM features on top of company data: RAG, embeddings, vector stores, evals and agentic workflows.
• Own CI/CD, data testing, monitoring and data-quality alerting for your systems.
• Work directly with stakeholders to scope problems and ship solutions to production.

Requirements:

• 5+ years building production software in SQL, Python and TypeScript (or similar).
• Deep knowledge of relational database internals and query performance.
• Experience with Parquet, Iceberg or similar lakehouse formats.
• Hands-on AI/LLM work on top of data (RAG, embeddings, vector stores, evals).
• Daily use of AI coding tools (Claude Code, Cursor, Copilot).
• Experience with CI/CD, testing and monitoring for data systems.
• A forward-deployed mindset: comfortable owning problems end to end and talking with non-technical stakeholders.
• Clear English communication skills.
• Nice to have: PostHog, DuckDB, Terraform, Snowflake or Databricks.

Perks and Benefits:

• 100% remote – work from anywhere in LATAM.
• Competitive USD-based compensation.
• Join a truly global company with a diverse and inclusive team.
• 10 days of PTO per year
• Opportunities to shape infrastructure and engineering practices at scale.
• A mission-driven culture focused on global growth, sustainability, and social impact.