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Remote Python Network Programming Jobs in Santa Clara, CA

Cyngn

Field Service Engineer

Mountain View, CA · On-site +1

$90K - $108K/yr

Execute configuration and parameter changes, including network and system settings on deployed ... Proficiency with Linux terminal, remote troubleshooting, and basic shell scripting. * Strong hands ...

Cyngn

Field Service Engineer

Mountain View, CA · On-site +1

Execute configuration and parameter changes, including network and system settings on deployed ... Proficiency with Linux terminal, remote troubleshooting, and basic shell scripting. * Strong hands ...

Turnblock.io

Technical Lead Remote (Web3)

Mountain View, CA · Remote

$100K - $250K/yr

... engineering leader to join their team. This is a fully remote role open to candidates based anywhere. About the Company Our client built the first high-performance Blockchain Distribution Network ...

DataHub

Customer Centric Engineer

Palo Alto, CA · On-site +1

Troubleshoot complex issues spanning software configuration, networking, and integrations ... Expertise and understanding of Python ; general understanding of frontend technologies like React ...

CoreWeave

Systems Engineer, VDI Platform

Sunnyvale, CA · Remote

... the remote-compute infrastructure powering hundreds of engineers, network operators, and support ... Strong scripting and automation skills (Python, Bash, or equivalent); comfort building internal ...

Volto USA

MES Scada Engineer _Remote

Santa Clara, CA · Remote

Object-Oriented programming techniques, Oracle, and/or system administration is a plus. Desirable ... Network/Transmission - AEMS or Reliance, Functional and Technical Knowledge of Utility GRID ...

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Design, build, and maintain CI/CD pipelines for Python, .NET/C#, and Flutter (Android/iOS) projects ...

Biointellisense

DevOps Engineer

Redwood City, CA · Remote

$140K - $170K/yr

We're a remote-first, lean start-up environment and our global BioTeam colleagues are growth ... Design, build, and maintain CI/CD pipelines for Python, .NET/C#, and Flutter (Android/iOS) projects ...

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Remote Python Network Programming information

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$15

$68

$101

How much do remote python network programming jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote python network programming in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is a Remote Python Network Programmer?

A Remote Python Network Programmer is a software developer who specializes in building and maintaining networked applications using the Python programming language, while working from a remote location. Their work often involves creating scripts or applications to manage network connections, automate network tasks, handle data transfers, and interact with protocols such as HTTP, TCP/IP, and sockets. These professionals may work on cloud-based systems, APIs, or distributed applications, and are skilled in both Python and networking concepts. Remote roles allow them to collaborate with teams and manage network infrastructure from anywhere in the world.

What are the key skills and qualifications needed to thrive as a Remote Python Network Programmer, and why are they important?

To thrive as a Remote Python Network Programmer, you need strong proficiency in Python, a solid understanding of networking protocols, and experience with network programming concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Wireshark, libraries such as socket and asyncio, and knowledge of version control systems like Git are typically required. Exceptional problem-solving skills, self-motivation, and clear written communication are important soft skills for remote collaboration and troubleshooting. These abilities ensure reliable network solutions, efficient teamwork, and effective project delivery in distributed environments.

How does collaboration typically work for remote Python network programmers working with distributed teams?

Remote Python network programmers often collaborate closely with cross-functional teams using various communication and project management tools. Daily stand-ups, code reviews, and pair programming sessions are commonly conducted over video calls and chat platforms to ensure seamless integration of network applications. Clear documentation and version control (e.g., Git) play a crucial role in keeping everyone aligned, especially when troubleshooting network protocols or deploying updates. The remote setup requires strong self-management skills and proactive communication to address potential challenges, such as debugging network issues across different environments.

What is the difference between Remote Python Network Programming vs Remote Python Web Development?

AspectRemote Python Network ProgrammingRemote Python Web Development
Required SkillsNetworking protocols, socket programming, securityHTML, CSS, JavaScript, frameworks like Django or Flask
Work EnvironmentServer-side, backend infrastructure, network systemsFrontend and backend web applications, cloud hosting
Industry UsageTelecommunications, cybersecurity, cloud servicesE-commerce, media, SaaS platforms
CertificationsNetworking certifications (e.g., CCNA, CompTIA Network+)Web development certifications (e.g., Certified Web Developer)

Remote Python Network Programming focuses on building and maintaining network systems, protocols, and security, often requiring networking certifications. In contrast, Remote Python Web Development centers on creating web applications using Python frameworks, emphasizing frontend-backend integration. Both roles involve Python skills but serve different technical and industry needs.

Remote Python Network Programming jobs near you
Software Development Engineer, AI Upgrades & Transformation

Software Development Engineer, AI Upgrades & Transformation

Amazon

East Palo Alto, CA • Remote

Full-time

Re-posted 13 days ago

Job description

Do you enjoy working on large-scale distributed systems and Agentic AI ?
The team manages the Apache Spark Upgrade Agent for Analytics services (Glue, EMR, Athena), the Remote MCP Service (SageMaker Unified Studio MCP), and the AWS Glue Python Service - Product and Runtime.
Apache Spark Upgrade Agent[1], is a new generative Agentic AI capability that enables customers to upgrade their Apache Spark applications to newer versions. Spark upgrades traditionally require 6-12 months of engineering effort for customers due to analyzing API changes, resolving dependency conflicts, and validating functional correctness across hundreds of enterprise applications.

Apache Spark Upgrade Agent, reduces upgrade timelines from months to weeks through conversational interfaces, automated code transformation, and rigorous data quality validation, allowing engineers to use natural language for upgrades while maintaining approval control over changes and freeing engineering capacity for strategic innovation.
The Remote MCP service is a fully managed Model Context Protocol server that provides customers using AI assistants (Kiro, Claude, Cline) and Agents secure access to value-added Spark Troubleshooting, Code Recommendation and Upgrade tools for Analytics services. Remote MCP service provide Agents with a MCP-compliant (Json-RPC-based interface) for Tool calls with IAM based permissions and auditability through AWS CloudTrail.
The team also manages Glue Python Shell product and runtime. Glue Python Shell customers use Python 2 (2.7) and Python 3 (3.6 & 3.9)


[1] Spark Upgrade agent - https://aws.amazon.com/blogs/big-data/introducing-apache-spark-upgrade-agent-for-amazon-emr/
Key job responsibilities
- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative Agentic AI products and enable our customer to have seamless transformation experience.
- Design and build innovative technologies by applying Generative AI in a large distributed computing environment and help lead fundamental changes in the industry.
- Design and code the right solutions starting with broadly defined problems.
- Work in an agile environment to deliver high-quality software applying Generative AI.
About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying


Why AWS. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.


Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.


Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony.

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
.

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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