Senior Staff Backend Engineer Forward Deployment Engineering

Meeru AI Inc • Pleasanton, CA

2h

About The Position

Meeru AI is building an AI-native platform for finance and accounting teams. The platform connects to enterprise financial systems and uses machine learning to turn fragmented operational data into grounded, auditable intelligence. It supports SaaS multi-tenant, SaaS single-tenant, and on-premises deployments across AWS, Azure, and GCP.

The Senior Staff Backend Engineer will own the platform’s core services: the data-intensive computation layer that turns curated financial and operational data into correct, reproducible, and traceable results. The role focuses on reusable, configuration-driven computation components and strong controls and guardrails over automated output. Results must reconcile and be reproducible and auditable. The engineer provides technical leadership for the backend team and partners with data, AI, and product teams to translate domain logic into robust, reusable services.

Correctness is essential because this layer’s output sits alongside externally reported financials. Each result must be traceable to its source, reproducible, and auditable. Guardrails must distinguish verifiable results from those requiring human review; results must not be altered to make calculations appear complete.

Requirements

• 8+ years of backend engineering experience in Python, Go, Java, or a similar language, including significant time at Staff+ level owning complex, data-intensive systems.
• Production Python experience with strong service design and testing practices.
• Elite SQL and data modeling skills, including fluency with window functions and large-scale joins and rigorous reasoning about correctness and performance.
• Experience with set-based, reproducible computation over a data warehouse such as Snowflake or PostgreSQL.
• Experience designing configuration-driven architectures, such as extensible services or rules engines where new use cases ship as configuration rather than new code paths.
• Strong system design skills for reliability, isolation, and reproducibility.
• A correctness mindset, treating traceability, explainability, and reproducibility of every result as hard requirements.
• Technical leadership experience setting patterns, reviewing designs, and mentoring engineers.

Nice To Haves

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

Responsibilities

• Own core backend services and the data-intensive computation layer.
• Build reusable, configuration-driven computation components.
• Enforce controls and guardrails over automated output, including separating verifiable results from results requiring human review.
• Ensure results reconcile and are traceable, reproducible, explainable, and auditable.
• Translate domain logic into robust, reusable services in partnership with data, AI, and product teams.
• Provide technical leadership by setting patterns, reviewing designs, and mentoring engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed