Platform Backend Architect

The role focuses on core backend services, data-intensive computation, configuration-driven architectures, SQL/data modeling, multi-tenant systems, auditability, and scalable platform engineering. The position offers an opportunity to work closely with the CTO and lead critical backend architecture and engineering initiatives.
🚀 **HIRING: Senior Staff Backend Engineer | India Offshore**
Senior Staff Backend Engineer
Core Services · Data-Intensive Computation · Configuration-Driven
Company Meeru AI
Location India offshore
Need 2 weeks training Hyderabad
Department Engineering — Platform
Reports To CTO / Director of Engineering
Team Platform Engineering
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 — ERPs, CRMs, billing platforms, 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
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.
You build reusable, configuration-driven computation components, enforce strong controls and guardrails over automated output, and guarantee that every result reconciles and can be reproduced and audited. You provide technical leadership for the backend team and 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, with clear guardrails that keep verifiable results separate from anything that requires human review — and nothing is ever quietly fudged to make the math look complete.
Responsibilities
Core Computation Services (35%)
Own the services that perform the platform's core financial and operational computation
Build a composable library of reusable computation components driven by configuration
Produce results that are fully traceable to their source inputs
Compute the supporting quality and confidence signals around each result
Computation & Correctness (20%)
Express complex logic as correct, performant, set-based computation over the warehouse
Guarantee results reconcile and are reproducible
Own performance and cost of the core services
Configuration Runtime (15%)
Build the runtime that executes per-domain configuration
Add new domains and use cases through configuration — never a bespoke code path
Keep the component library extensible
Controls & Auditability (15%)
Enforce guardrails over automated output in code
Build the controls / feature-flag system to scope or disable automated behavior per tenant or feature
Build audit logging and lineage for end-to-end traceability to source
Multi-Cloud & Multi-Tenant (10%)
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 egress
Technical Leadership (5%)
Set patterns, review designs, and mentor the backend team
Partner with data, AI, and product on service design
Technical Stack
Languages & Services
Python
Production service design & testing
Config-driven / rules-engine architectures
Data & Compute
SQL (window functions, large joins)
Snowflake / PostgreSQL
Set-based, reproducible computation
Platform
Docker / Kubernetes / Terraform
Multi-tenant, customer-hosted deployment
Audit logging & lineage
What You'll Build in Year One
Core computation services that produce correct, reconciling, fully traceable results from curated data.
A composable, configuration-driven component library that extends to new domains without new code paths.
A configuration runtime so new use cases onboard as configuration, not bespoke engineering.
Guardrails, controls, and full lineage that make automated output auditable and safely scoped per tenant.
Required Qualifications
Core
8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data-intensive systems.
An obsession with correctness, traceability, and testability — "every result is explainable and reproducible" as a requirement.
Technical Depth
Elite SQL and data modeling — window functions, large-scale joins, and rigorous reasoning about correctness and performance.
Experience designing configuration-driven, extensible service architectures.
Strong system design for reliability, isolation, and reproducibility.
Nice-to-Have
Finance / accounting / analytics domain, or genuine willingness to learn how financial statements are built and reconciled.
dbt, Snowflake / PostgreSQL; multi-tenant, customer-hosted deployment; Docker / Kubernetes / Terraform.
Exposure to ML / statistical workflows and LLM application patterns — enough to integrate them well.
Experience building auditable systems in a regulated environment. professional email

Work arrangement
No