[Hiring] Senior Staff Backend Engineer @Meeru AI Inc

Role Description

We are looking for a Senior Staff Backend Engineer to own the core services at the heart of the platform — the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, fully traceable results. This is the structured engineering beneath the product: not dashboards, not an LLM wrapper, but the services that do the heavy computation and stand behind every number the platform produces.

• Build reusable, configuration-driven computation components.
• Enforce strong controls and guardrails over automated output.
• Guarantee that every result reconciles and can be reproduced and audited.
• Provide technical leadership for the backend team.
• Partner with data, AI, and product to translate domain logic into robust, reusable services.

What makes this role different:

• The output of this layer sits next to externally reported financials, so correctness is not negotiable.
• Everything you build is held to a hard standard: every result must be traceable to source, reproducible, and auditable.
• Clear guardrails that keep verifiable results separate from anything that requires human review.
• Nothing is ever quietly fudged to make the math look complete.

Qualifications

• 8+ years of backend engineering in Python, Go, Java, or similar, including significant time at Staff+ level owning complex, data-intensive systems.
• Production Python with strong service design and testing practices.
• Elite SQL and data modeling; fluent in window functions and large-scale joins.
• Set-based, reproducible computation over a data warehouse such as Snowflake or PostgreSQL.
• Configuration-driven architecture; designed extensible services or rules engines.
• Strong system design for reliability, isolation, and reproducibility.
• A correctness mindset; treat “every result is traceable, explainable, and reproducible” as a hard requirement.
• Technical leadership; set patterns, review designs, and mentor engineers.

Requirements

• Finance, accounting, or analytics domain experience, or genuine curiosity about how financial statements are built and reconciled.
• Experience with dbt alongside Snowflake or PostgreSQL.
• Multi-tenant or customer-hosted (on-prem) deployments, ideally across AWS, Azure, and GCP.
• Familiarity with Docker, Kubernetes, and Terraform.
• Experience with audit logging, data lineage, and feature-flag or controls systems.
• Experience with auditable systems in regulated environments such as fintech, banking, or healthcare.
• Exposure to ML, statistical workflows, or LLM application patterns, enough to integrate them well.