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Seasonal Backend Developer Python Jobs in California

Backend Engineer LOCATION: Sunnyvale, CA Duration: 6 to 12+ Months Description: Job Duties ... Skills (Must have): - Experience in programming in Java, Scala and Python - Experience working with ...

One of our direct client is urgently looking for a Back-End Engineer @ Sunnyvale CA TITLE: Back-End ... Skills (Must have): - Experience in programming in Java, Scala and Python - Experience working with ...

... backend engineer to help build their cloud security platform. The role involves designing and ... Python, Node, AWS infrastructure, Neo4j and more. • Move the Needle at a Scrappy Startup: • ...

Required : • 5+ years of experience as a backend or full-stack engineer • Strong proficiency in a subset of modern backend programming languages (Go, Python, Node.js, Rust, etc.) • Deep ...

Backend Engineer We believe that software is the foundation of modern civilization - yet ... Our stack is Typescript/Python * A bachelor's degree in Computer Science/Software Engineering or ...

We are looking for a Python Developer to build the backbone of our platform. You will be ... Architect the backend systems that power our AI agents, managing long-running tasks, state ...

We are looking for a Python Developer to build the backbone of our platform. You will be ... Architect the backend systems that power our AI agents, managing long-running tasks, state ...

You'll work across model serving, simulation orchestration, multi-agent coordination, and developer ... Strong backend engineering skills in Python or similar languages * Experience designing and ...

We are looking for a Python Developer to build the backbone of our platform. You will be ... Architect the backend systems that power our AI agents, managing long-running tasks, state ...

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, ...

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, ...

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, ...

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 ...

The Role We're hiring a Backend Product Engineer to build and maintain the systems that make Tolan ... Our stack is built primarily with Node.js (TypeScript), Python, PostgreSQL, and Redis. What You'll ...

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Seasonal Backend Developer Python information

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

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

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

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a Seasonal Backend Developer (Python), and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What are Seasonal Backend Developer Python jobs?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.
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 cities in California are hiring for Seasonal Backend Developer Python jobs? Cities in California with the most Seasonal Backend Developer Python job openings:
Member of Technical Staff, Backend - NomadicML

Member of Technical Staff, Backend - NomadicML

Pear

San Francisco, CA • On-site

Full-time

Posted 29 days ago


Job description

About NomadicML
Americans drive over 5 trillion miles a year, more than 500 billion of them recorded. Buried in that footage is the next frontier of machine intelligence. At NomadicML, we're building the platform that unlocks it.
Our Vision-Language Models (VLMs) act as the new "hydraulic mining" for video, transforming raw footage into structured intelligence that powers real-world autonomy and robotics. We partner with industry leaders across self-driving, robotics, and industrial automation to mine insights from petabytes of data that were once unusable.
NomadicML was founded by Mustafa Bal and Varun Krishnan, who met at Harvard University while studying Computer Science.
  • Mustafa is a core contributor to ONNX Runtime and DeepSpeed with deep expertise in distributed systems and large-scale model training infrastructure
  • Varun is an INFORMS Wagner Prize Finalist for his research in large-scale driver navigation AI models and one of the top chess players in the US.

Our team has built mission-critical AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM Research, holds top-tier publications in VLMS and AI at conferences like CVPR, and moves with the speed and clarity of a startup obsessed with impact.
About the Role
We're looking for a Backend / Infrastructure Engineer who thrives at the intersection of cloud systems, SDK design, and large-scale inference infrastructure.
You'll build and scale the backbone that powers NomadicML's video intelligence platform - from secure cloud ingestion to distributed GPU inference pipelines that run our largest foundation models. You'll collaborate with ML researchers to productionize their models, automate deployment and scaling, and expose those capabilities through clean APIs and SDKs used by enterprises worldwide.
This role blends systems engineering, distributed compute orchestration, and developer experience. You'll be working across cloud storage, inference scheduling, GPU clusters, and the NomadicML SDK.
What You'll Build
  • GPU Inference Workflows: Architect pipelines to run massive multi-GPU inference jobs on foundation-scale video models, optimizing for throughput, cost, and reliability.
  • Cloud Upload Infrastructure: Build direct integrations with AWS S3, GCP Storage, and Azure Blobs to support large-scale ingest via signed URLs and resumable uploads.
  • Distributed Processing Pipelines: Design event-driven, autoscaling job systems using Kubernetes, Pub/Sub, or Ray for analyzing terabytes of video data in parallel.
  • Developer SDKs and APIs: Power the NomadicML Python SDK used for programmatic video ingestion, analysis, and search - the core tool researchers and customers rely on.
  • End-to-End Observability: Build logging, tracing, and metrics pipelines that surface GPU utilization, job latency, and per-video inference health.
  • Lightweight Frontend Integrations: Support the web app's Cloud Integrations and Project Workflows through backend endpoints and TypeScript SDK bindings.

You Might Be a Fit If You Have
  • Deep proficiency in Python, Go, or TypeScript for backend systems.
  • Experience with AWS, GCP, or Azure (IAM, S3/Blob Storage, Batch/Compute APIs, etc.).
  • Strong understanding of GPU inference scaling, Kubernetes, container orchestration, and event-driven pipelines.
  • Prior experience designing REST/gRPC APIs, SDKs, or developer-facing infrastructure.
  • Familiarity with asynchronous job orchestration (Ray, Airflow, Dagster, Temporal).
  • A practical mindset: you take research-grade systems and make them reliable, fast, and usable.

Nice to Have
  • Experience contributing to inference orchestration frameworks or ML infra tools (e.g., DeepSpeed, Triton, Ray Serve).
  • Understanding of video encoding, chunking, and streaming formats for efficient multi-modal ingestion.
  • Basic front-end experience (React / Next.js) for integrating backend pipelines into product workflows.
  • Background in ML infrastructure, observability, or data management systems.