Senior Staff Backend Engineer

Job title: Senior Staff Backend Engineer
Location: Pleasanton, CA (Hybrid – 3 days a week onsite)
Duration: Full-time

Role Overview

Meeru AI is seeking a Senior Staff Backend Engineer to lead the design and development of our core backend services powering an AI-native enterprise finance platform. You will build scalable, configuration-driven services that process large volumes of financial and operational data with a strong focus on correctness, auditability, and performance. This is a hands-on technical leadership role partnering with Product, AI, and Data Engineering teams.

Key Responsibilities

·       Design and develop scalable backend services for data-intensive computation.

·       Build reusable, configuration-driven service architectures and processing frameworks.

·       Ensure data correctness, traceability, auditability, and reproducible results.

·       Optimize SQL, data processing pipelines, and backend performance.

·       Develop secure, multi-tenant cloud-native services for enterprise deployments.

·       Lead architecture reviews, mentor engineers, and establish backend engineering best practices.

·       Collaborate with AI, Data, and Product teams to deliver enterprise-grade solutions.

Required Skills

·       8+ years of backend software engineering experience with Staff-level technical leadership.

·       Strong expertise in Python (Go or Java experience is a plus).

·       Advanced SQL, data modeling, and large-scale data processing.

·       Experience building distributed, configuration-driven backend systems.

·       Strong knowledge of PostgreSQL, Snowflake, REST APIs, and cloud-native architectures.

·       Experience with Docker, Kubernetes, Terraform, and CI/CD.

·       Deep understanding of system design, scalability, performance optimization, and reliability.

·       Excellent problem-solving, architecture, and cross-functional collaboration skills.

·       Preferred Qualifications

·       Experience in Finance, Accounting, ERP, Analytics, or regulated enterprise environments.

·       Experience with multi-tenant SaaS platforms and customer-hosted deployments.

·       Exposure to AI/ML, LLM applications, or data engineering workflows.

·       Experience building highly auditable and compliant enterprise systems.