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Senior Backend Developer Python Jobs in California

FlexAI

Senior Backend Engineer

Santa Clara, CA · On-site

$180K - $225K/yr

Work with DevOps/SRE on CI/CD, deployment automation, and scalability * Contribute to architecture ... Golang (Primary), Python (Secondary) * Infrastructure: Kubernetes, Docker, Cloud (AWS/GCP/Azure)

Boxtro Llp 123

Sr. Backend Engineer

San Francisco, CA · On-site

If you're a smart, motivated developer with 4 - 6 years of proven, hands-on experience with the ... Python...the list goes on! You can experiment with installing/configuring/hacking Wordpress ...

Phonely Ltd

Senior Backend Engineer

San Francisco, CA · On-site

$200K - $350K/yr

Senior Backend Engineer (Python) At some point in the future, every business will answer their phone with voice AI. We are making sure that when they build that AI agent, the experience of doing so ...

Scribe

Senior Backend Engineer

San Francisco, CA · On-site

$175K - $200K/yr

One team one dream About this role We're looking for a Senior Backend Engineer to join our Core ... Python + Django * PostgreSQL * Redis * Celery + AmazonMQ * Infrastructure in Terraform (AWS ...

Commure

Senior Backend Engineer

Mountain View, CA · On-site

$170K - $230K/yr

We are looking for a talented Senior Backend Engineer to help us craft user-friendly, responsive ... Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask ...

Commure Athelas

Senior Backend Engineer

Mountain View, CA · On-site

$170K - $230K/yr

We are looking for a talented Senior Backend Engineer to help us craft user-friendly, responsive ... Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask ...

Commure

Senior Backend Engineer

San Francisco, CA · On-site

$170K - $230K/yr

We are looking for a talented Senior Backend Engineer to help us craft user-friendly, responsive ... Work across the entire technology stack, including but not limited to Python, Go, FastAPI, Flask ...

Finvest

Senior Backend Engineer

San Francisco, CA · On-site

We are looking for a senior engineer to join our team in San Francisco. As one of the founding ... Fluent in Node/Typescript, Python, Postgres, and AWS * Proven ability to architect complex ...

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Senior Backend Developer Python information

What are the key skills and qualifications needed to thrive as a Senior Backend Developer Python, and why are they important?

To thrive as a Senior Backend Developer Python, you need deep expertise in Python programming, software architecture, and experience with databases and API development, usually supported by a computer science degree and several years of professional coding experience. Familiarity with frameworks like Django or Flask, cloud platforms (e.g., AWS, Azure), and version control systems such as Git is typically expected, along with knowledge of containerization tools like Docker. Strong problem-solving skills, collaboration, and clear communication set top performers apart in this role. These skills ensure the development of robust, scalable backend systems that meet business needs and support seamless integration with other technologies.

What are some common challenges faced by Senior Backend Developers working with Python, and how can they be addressed?

Senior Backend Developers working with Python often encounter challenges such as ensuring high performance and scalability of applications, especially when dealing with large volumes of data or high user traffic. Managing dependencies and maintaining clean, modular codebases can also be demanding in complex projects. These challenges are typically addressed by leveraging advanced Python frameworks, implementing robust testing practices, and collaborating closely with DevOps and frontend teams to optimize system architecture and deployment pipelines. Continuous learning and staying updated with best practices in Python and backend development are also key to overcoming these obstacles.

What does a Senior Backend Developer Python do?

A Senior Backend Developer Python designs, builds, and maintains the server-side logic and databases for web applications, primarily using the Python programming language. They are responsible for ensuring high performance, responsiveness, and security of applications, integrating with front-end elements, and working closely with other developers and stakeholders. Additionally, they often mentor junior developers, review code, and contribute to architectural decisions to ensure scalable and robust backend systems.

What is the difference between Senior Backend Developer Python vs Backend Developer Python?

AspectSenior Backend Developer PythonBackend Developer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
CertificationsRelevant certifications (e.g., AWS, Python)Optional, entry-level certifications
Work EnvironmentDesigning architecture, mentoringImplementing features, coding
ResponsibilitiesSystem design, team coordinationCode development, bug fixing

The main difference between a Senior Backend Developer Python and a Backend Developer Python lies in experience, responsibilities, and leadership. Senior developers typically lead projects and mentor others, while backend developers focus on coding and feature implementation. Both roles require strong Python skills and relevant certifications, but senior roles demand more experience and strategic involvement.

What are the most commonly searched types of Backend Developer Python jobs in California? The most popular types of Backend Developer Python jobs in California are:
What are popular job titles related to Senior Backend Developer Python jobs in California? For Senior Backend Developer Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Backend Developer Python jobs in California look for? The top searched job categories for Senior Backend Developer Python jobs in California are:
What cities in California are hiring for Senior Backend Developer Python jobs? Cities in California with the most Senior Backend Developer Python job openings:
Senior Backend Developer Python jobs near you
Infographic showing various Senior Backend Developer Python job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 61% In-person, 22% Hybrid, and 17% Remote job distribution.

Senior Backend Engineer

FlexAI

Santa Clara, CA • On-site

$180K - $225K/yr

Full-time

Posted 8 days ago

Job description

About FlexAI
Build and Deploy AI the right way, anywhere.
The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood.
Founded by Brijesh Tripathi, who bring experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product - we're shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.
If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !
Role Overview
FlexAI is looking for a Senior Backend Engineer (Infrastructure & AI Platform) with deep Golang expertise to architect and build the core backend systems powering our next-generation AI compute and PaaS platform. This role sits at the intersection of distributed systems, cloud infrastructure, and AI platform engineering - enabling large-scale model training, inference, and orchestration across heterogeneous compute. This is not a traditional backend role; you will be building platform-grade systems that support AI runtimes, scheduling, resource orchestration, and multi-tenant cloud infrastructure.
As a Senior Backend Engineer, you'll drive backend architecture, scale platform services, and build high-performance infrastructure components that power AI workloads in production environments - influencing how the platform evolves from Beta to enterprise-grade deployment. Expect high ownership and technical autonomy in a research-driven, deep-tech environment - not SaaS CRUD apps.
This position is In-Person and located at our San Jose, CA Office.
What You'll Do
Core Platform & Infrastructure Backend:
  • Architect and develop high-performance Golang services for FlexAI's AI PaaS and infrastructure platform
  • Build internal APIs powering model deployment, job scheduling, and compute lifecycle management
  • Develop components interfacing with GPU/compute infrastructure and AI runtimes

Distributed Systems & Scalability:
  • Design and scale microservices and event-driven systems for high-throughput AI workloads
  • Optimize for low latency, high concurrency, and fault tolerance
  • Implement service-to-service communication (gRPC/REST, message queues, async pipelines)
  • Drive reliability, observability, and resilience across services

AI Platform Integration:
  • Collaborate with AI/ML and Runtime teams to integrate systems with training pipelines, inference infrastructure, experimentation workflows, and dataset/artifact management
  • Enable orchestration across cloud and on-prem environments
  • Build abstractions that simplify AI infrastructure consumption

Cloud-Native & Platform Engineering:
  • Design cloud-native, Kubernetes-native services
  • Work with DevOps/SRE on CI/CD, deployment automation, and scalability
  • Contribute to architecture decisions for multi-region, multi-cloud infrastructure
  • Improve monitoring, logging, and diagnostics

Technical Leadership:
  • Lead architecture reviews and set engineering standards
  • Mentor engineers and guide complex problem-solving
  • Drive long-term roadmap for backend infrastructure and AI platform capabilities
  • Partner with Product, Runtime, and Infra leadership to translate requirements into scalable systems
Tech Stack (Indicative):
  • Languages: Golang (Primary), Python (Secondary)
  • Infrastructure: Kubernetes, Docker, Cloud (AWS/GCP/Azure)
  • Architecture: Microservices, gRPC, Event-driven systems
  • Data: SQL + NoSQL databases, caching, streaming systems
  • Observability: Prometheus, Grafana, OpenTelemetry (or similar)
What You'll Need to Be Successful
Core Engineering:
  • 5+ years of Backend or Infrastructure Engineering experience
  • Expert-level proficiency in Golang (must-have, heavy hands-on)
  • Strong experience building production-grade distributed systems
  • Proven track record on infrastructure platforms, PaaS, or deep-tech systems

Infrastructure & Systems:
  • Deep understanding of cloud-native architectures and containerized environments
  • Strong experience with Kubernetes, Docker, and cluster orchestration
  • Familiarity with compute scheduling, resource management, or platform runtimes is a strong plus

Databases & Data Systems:
  • Experience with distributed databases (PostgreSQL, Cassandra, DynamoDB, etc.)
  • Strong understanding of caching, queues, and streaming systems (Redis, Kafka, etc.)

AI / Platform Exposure (Highly Preferred):
  • Experience on AI/ML platforms, model infrastructure, or data platforms
  • Familiarity with ML pipelines, inference systems, or GPU-backed workloads
  • Exposure to PyTorch, TensorFlow infrastructure, or model serving systems is a plus

Ideal Candidate Profile (Who Will Thrive Here)
  • Infra-first backend engineers (not just API developers)
  • Background in AI infra, cloud platforms, developer platforms, or deep-tech systems
  • Strong systems thinkers who enjoy low-level performance, scalability, and architecture challenges
  • Startup-minded builders comfortable in ambiguous, high-ownership environments

What We Offer
  • Competitive salary and benefits package
  • Work on cutting-edge AI infrastructure
  • Build products used by developers and enterprises
  • High ownership, fast execution, real impact
  • Collaborative, high-caliber team

The pay range for this role is:
180,000 - 225,000 USD per year (US)

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