Senior Staff Backend Engineer - Auditable Finance Platform

Meeru Ai Inc

Argentina

On-site

ARS 181,906,000 - 272,860,000

Full time

4 days ago
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Job summary

Meeru AI is building an AI-native platform for finance and accounting teams. We seek a Senior Staff Backend Engineer to own the core computation layer that turns curated data into correct, reproducible results.

You will lead the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services. You’ll shape configuration-driven architectures, enforce strong guardrails, and ensure every output can be traced back to source and audited.

Qualifications

  • 8+ years of backend engineering in Python, Go, Java, or similar.
  • Production Python with strong service design and testing.
  • Elite SQL and data modeling with large-scale joins and window functions.
  • Set-based, reproducible computation over a data warehouse (Snowflake or PostgreSQL).
  • Configuration-driven architecture with extensible services.
  • Strong system design for reliability, isolation, and reproducibility.
  • A correctness mindset: every result traceable, explainable, and auditable.

Responsibilities

  • Own the core backend services at the heart of the platform's computations.
  • Provide technical leadership for the backend team and mentor engineers.
  • Collaborate with data, AI, and product to translate domain logic into robust services.
  • Ensure outputs are traceable, reproducible, and auditable with guardrails.

Skills

Backend engineering
Python
Go
Java
SQL
Data modeling
System design
Technical leadership

Tools

dbt
Snowflake
PostgreSQL

Job description

Meeru AI is building an AI-native platform for finance and accounting teams. We seek a Senior Staff Backend Engineer to own the core computation layer that turns curated data into correct, reproducible results.

You will lead the backend team and partner with data, AI, and product to translate domain logic into robust, reusable services. You’ll shape configuration-driven architectures, enforce strong guardrails, and ensure every output can be traced back to source and audited.

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