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Backend Developer Python Jobs in San Ramon, CA (NOW HIRING)

Pump.co

Backend Engineer

San Francisco, CA · On-site

Required : • 3-6 years of professional backend engineering experience • Ability to work 5 days a week in office • Proficiency in Python and familiarity with FastAPI or similar frameworks • ...

Pump.co

Backend Engineer

San Francisco, CA · On-site

Required : • 3-15 years of professional backend engineering experience • Ability to work 5 days a week in office • Proficiency in Python and familiarity with FastAPI or similar frameworks • ...

Recentive Analytics Inc.

Backend Engineer

San Francisco, CA · On-site

$120 - $150/hr

Backend Engineering Expertise : 7+ years of experience building backend systems in Python, with deep expertise in Django and Django Rest Framework, and a genuine enthusiasm for using these frameworks ...

New

LiteLLM

Senior Backend Engineer

San Francisco, CA · On-site

$100 - $130/hr

Collaborate cross‑functionally on backend engineering priorities (performance, reliability ... Bachelor's or Master's in Computer Science or related field. * 1+ years of experience with Python ...

depthfirst

Backend Engineer

San Francisco, CA · On-site

They are seeking an experienced Backend Engineer to lead the development of an AI-native platform ... Our stack is Typescript/Python • A bachelor's degree in Computer Science/Software Engineering or ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript · Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript · Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

Intelletec

BackEnd Engineer (Mid Level)

San Francisco, CA · On-site

$140K/yr

As a Back End Engineer (junior), you'd be responsible for building consumer facing apps (web or ... Experience in Java (but will consider Python, Go & Scala) * MySQL/PostgreSQL/Oracle, * AWS or other ...

Addison Group

Sr. Backend Engineer

San Ramon, CA · On-site

$65 - $75/hr

Title : Sr. Backend Engineer Location : San Ramon, CA Pay : $65-75/hr Job Type : 6 Month Contract ... React, TypeScript • Backend: o Python (API platform, AWS Lambda, dynamic DBs) o Node.js, ...

RainesDev

Founding Backend Engineer

San Francisco, CA · On-site

Collaborate with frontend engineers to design and implement RESTful APIs and shared API client ... Job Requirements Seniority * 4+ years of experience Python backend development experience--mid to ...

Cantos Ventures

Senior Backend Engineer

San Francisco, CA · On-site

$175 - $200/hr

About this role We're looking for a Senior Backend Engineer to join our Core Engineering Team ... You have extensive experience with Python * You know how to optimize endpoint performance and ...

New

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Backend Developer Python information

See San Ramon, CA salary details

$17.9K

$165.7K

$213.4K

How much do backend developer python jobs pay per year?

As of Aug 21, 2026, the average yearly pay for backend developer python in San Ramon, CA is $165,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $162,600.00 and $187,200.00 per year, depending on experience, location, and employer.

What is a backend developer python?

A Backend Developer Python job involves building and maintaining the server-side logic of web applications using Python. This includes developing APIs, working with databases, ensuring application performance, and integrating third-party services. Python frameworks like Django or Flask are commonly used. Backend developers collaborate with frontend developers, DevOps engineers, and other team members to create efficient and scalable applications.

What does a backend developer python do?

A typical day for a Backend Developer Python involves writing and testing server-side code, designing APIs, optimizing application performance, and reviewing code from team members. You’ll often participate in daily stand-up meetings, collaborate with front-end developers to ensure seamless integration, and work closely with QA testers to resolve bugs or issues. Communication with product managers or designers is also common to clarify requirements and ensure project goals are met. This collaborative and dynamic environment provides continuous opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a backend developer python?

To thrive as a Backend Developer Python, you need in-depth proficiency in Python programming, expertise with backend frameworks (such as Django or Flask), experience designing APIs, and a strong understanding of database technologies. Familiarity with version control systems like Git, cloud platforms (AWS, Azure), and containerization tools (Docker) is typically expected, and certifications in these areas can be beneficial. Strong problem-solving abilities, effective communication skills, and a collaborative mindset help professionals succeed in team environments. These skills and qualities are vital to building robust, scalable applications and ensuring seamless integration within multidisciplinary development teams.

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Backend Developer Python jobs near you
Infographic showing various Backend Developer Python job openings in San Ramon, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,653 per year, or $79.6 per hour.

Staff/Senior Python Engineer

Grid Dynamics Holdings

San Ramon, CA • On-site

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

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.
Essential functions
  • 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

Qualifications
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.

Would be a plus
  • 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.

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