Staff Backend Engineer (FDE)

Engineering, Platform

Full-time

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems, including ERPs, CRMs, billing platforms, and HRIS, and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms: SaaS multi-tenant, SaaS single-tenant, and on-premises, across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

The Staff Backend Engineer owns the application and API services layer: the services through which everything the platform computes actually reaches a person.

Multi-tenant APIs, authentication and authorization, and the review and approval workflows where a controller accepts a result, challenges it, or sends it back. The computation layer produces the numbers. This layer is where a finance team sees them, interrogates them, approves them, and acts on them.

That means your services carry the same correctness and auditability requirements as the computation beneath them, plus the access control and tenancy guarantees that let a Fortune 500 finance organization trust the platform with their close cycle.

Every action taken through your services is part of an audit trail that sits next to externally reported financials. Who approved what, when, on the basis of which underlying result, and what changed afterward. That is not logging you add later. It is a product requirement, and it shapes how the services are designed from the first commit.

This is hands-on and high-ownership. You own major services end to end, set backend patterns alongside the Senior Staff engineers, and partner with data, AI, and product on the contracts between layers.

Key Responsibilities

1.      Own the multi-tenant APIs through which the platform's results are consumed. Design the service contracts between the application layer and the computation, data, and AI layers, and own the versioning discipline that lets those contracts evolve without breaking consumers who cannot all move at once.

2.      Build the review, approval, and exception-handling workflows finance teams operate in. This is where the product either earns trust or loses it. A controller who cannot see why a number is what it is will not approve it, and will not use the platform twice.

3.      Build and maintain multi-tenant isolation at the service layer. Own authentication, authorization, and role-based access across the application surface. Cross-tenant leakage should be impossible by construction rather than prevented by convention.

4.      Build the audit trail. Who saw what, who approved what, on the basis of which result. Guarantee that every user-facing figure links back to its computation and its source, and support the enterprise security and compliance reviews Fortune 500 finance customers run before they buy.

5.      Build for a multi-cloud-ready, multi-tenant-ready, customer-hosted deployment model. Services that run inside a customer's environment with strong isolation and no data egress.

6.      Own performance, reliability, and cost of the services you build, including observability and operational health. You should be able to answer why a request is slow rather than guessing.

7.      Set backend patterns, review designs, and mentor mid and senior engineers. Partner with data, AI, and product on cross-layer service design.

A note on accountability: this role owns the application and API services, tenancy and access control, and the audit trail. It does not own the core computation layer, the data foundation, the AI layer, or product prioritization.