Staff/Senior Python Engineer

Grid Dynamics; San Ramon (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Flexible schedule

Medical insurance

Vision

Dental

Professional development

Job summary

Grid Dynamics is seeking a Senior/Staff Backend Engineer to own the core computation layer behind our platform, turning curated data into reproducible, auditable results. You’ll lead backend development, partner with data, AI, and product to translate domain logic into robust services.

Responsibilities include building configuration-driven components, ensuring guardrails, and enabling a multi-tenant, multi-cloud deployment with strong isolation and measurable performance.

Qualifications

• 8+ years of backend engineering experience with data-intensive systems.
• Passion for correctness, traceability, and testability — “every result is explainable and reproducible.”
• Bachelor’s degree in Computer Science, Business, Engineering, or a related field.

Responsibilities

• Own core computation services and ensure results are reproducible and auditable.
• Provide technical leadership for the backend team and collaborate with data, AI, and product.
• Build configuration-driven, reusable computation components with strong controls and guardrails.

Skills

Backend engineering

Data-intensive systems

Testability & reproducibility

Technical leadership

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Terraform

Snowflake

PostgreSQL

dbt

Job 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.

You would be responsible for building reusable, configuration-driven computation components, enforcing strong controls and guardrails over automated output, and guaranteeing every result 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.

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.

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

Required Qualifications

Core

• 8+ years backend engineering (Python / Go / Java or similar), with significant Staff+ time owning complex, data‑intensive systems.
• An passion for correctness, traceability, and testability — “every result is explainable and reproducible” as a requirement.
• Bachelor’s degree in Computer Science, Business, Engineering, or a related field.

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.

We offer

• Opportunity to work on cutting‑edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well‑equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.