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Remote Python Api Developer Jobs in Santa Clara, CA

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

API paradigms such as REST, gRPC, and GraphQL Data & Platforms * Knowledge of: * Caching ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

API paradigms such as REST, gRPC, and GraphQL Data & Platforms * Knowledge of: * Caching ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

API paradigms such as REST, gRPC, and GraphQL Data & Platforms * Knowledge of: * Caching ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

RadixArk

Full Stack Engineer

Palo Alto, CA · On-site +1

Backend: Python (FastAPI / Django) or Node.js * RESTful and/or gRPC API design * Strong ... Experience building developer tools or infrastructure platforms * Experience in ML infrastructure ...

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 ...

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 ...

Axiad

GTM Engineer

San Jose, CA · Remote

$121K - $150K/yr

Remote, US (or hybrid HQ San Jose) Job Type: Full-time Axiad is the identity security company ... Comfortable with SQL, Python or JavaScript, REST APIs, and no-code/low-code platforms (Clay, Zapier ...

VYNYL

Senior Full Stack Engineer (Typescript)

San Jose, CA · On-site +1

$135K - $175K/yr

... Python. Some experience with React and/or Angular would be helpful. This role requires not only ... Mainly remote work: seeking candidates in the greater Los Angeles area to mainly work remotely with ...

Platform9 Systems

Engineering Intern

San Jose, CA · Remote

$30 - $40/hr

This enables IT teams to gain robust API control and a user experience they trust--rooted in ... Python or Golang is preferred. * 0-2 yrs experience * Familiarity with containerization ...

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC ... Docker Good to have * DevOps Automation * CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)

GlobalLogic

Physical AI Sr. Engineer IRC296179

San Jose, CA · On-site +1

$180K - $220K/yr

Hands-on experience programming and troubleshooting PLCs (Mitsubishi, Allen Bradley, Siemens) and ... You can quickly write Python, C++, or whatever script is necessary to connect an API endpoint to a ...

ID.me

Product Security Engineer

Mountain View, CA · On-site +1

Certain roles -- such as field-based sales or other remote-by-design positions -- may have ... Execute API security assessments by conducting security reviews, identifying vulnerabilities, and ...

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All JobsPython Api Developer JobsRemote Python Api Developer JobsRemote Python Api Developer Jobs in Santa Clara, CA

Remote Python Api Developer information

See Santa Clara, CA salary details

$15

$68

$101

How much do remote python api developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote python api developer 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.

Will AI replace Python devs?

As a Remote Python API Developer, AI is more likely to augment rather than replace your role by automating repetitive tasks and assisting with code generation. Developers with strong problem-solving skills, understanding of APIs, and experience with AI tools will continue to be valuable in designing and maintaining complex systems. Staying updated on AI advancements and enhancing your coding and integration skills can help maintain your job security.

Can you work remotely as a Python developer?

Yes, many Python API developers work remotely, as the role primarily involves coding and collaboration through online tools. Remote work is common in software development, and having skills in version control, communication, and remote collaboration tools is beneficial.

What is the difference between Remote Python Api Developer vs Remote Backend Developer?

AspectRemote Python Api DeveloperRemote Backend Developer
Required SkillsPython, API design, RESTful servicesMultiple languages (Python, Java, Node.js), database management
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, tech startups, enterprises
Common Industry UsageWeb services, API development, SaaS platformsFull-stack or server-side development across industries

Remote Python Api Developers focus specifically on designing and maintaining APIs using Python, often working on web services and SaaS platforms. Remote Backend Developers have a broader scope, working with multiple programming languages and handling server-side logic across various industries. While both roles require backend skills, the Python Api Developer specializes in API-centric tasks with Python as the primary language.

What are some common challenges faced by remote Python API Developers, and how can these be managed effectively?

Remote Python API Developers often face challenges such as coordinating with distributed teams across time zones, ensuring clear communication about API requirements, and managing code consistency and integration. To overcome these, it's important to use collaborative tools like version control systems, participate actively in code reviews, and schedule regular check-ins with team members. Adopting well-documented coding standards and leveraging automated testing can also help maintain code quality and streamline collaboration.

Are Python devs in demand?

Python developers are in high demand across various industries due to Python's versatility and widespread use in web development, data analysis, machine learning, and automation. Employers seek Python skills along with knowledge of frameworks like Django or Flask and experience with APIs, making it a valuable programming language for remote development roles. The demand is expected to grow as technology continues to evolve and companies prioritize automation and data-driven solutions.

What does a Remote Python API Developer do?

A Remote Python API Developer is responsible for designing, building, and maintaining application programming interfaces (APIs) using the Python programming language. These developers work from remote locations, collaborating with teams via online tools to create scalable and efficient APIs that allow different software applications to communicate. Their tasks often include writing clean and secure code, integrating third-party services, troubleshooting issues, and ensuring that APIs meet performance and security standards.

Can Python be used for API development?

Yes, Python is widely used for API development due to its simplicity and extensive libraries like Flask and Django that facilitate building RESTful APIs. As a Remote Python API Developer, proficiency in these frameworks and understanding of HTTP protocols are essential for creating scalable and efficient APIs.

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

To thrive as a Remote Python API Developer, you need a solid understanding of Python programming, experience with RESTful API design, and familiarity with frameworks such as Django or Flask, often supported by a relevant degree or certifications. Proficiency in using version control systems like Git, API documentation tools (e.g., Swagger), and cloud platforms (such as AWS or Azure) is typically expected. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for success in this role. These competencies ensure robust API development, seamless team collaboration, and reliable delivery of scalable software solutions in a remote work environment.
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Remote Python Api Developer jobs near you
AI & Data Systems Engineer (Remote)

AI & Data Systems Engineer (Remote)

Ceribell, Inc

Sunnyvale, CA • Remote

$134K - $161K/yr

Other

Re-posted 4 days ago

Job description

Position Overview:

The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture & Engineering team, responsible for much of the hands-on implementation work that turns architectural plans into reality. This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems run on.

A significant part of this role involves taking ideas and early-stage prototypes for AI-powered internal tools and engineering them into stable, supportable internal applications. The ideal candidate is a versatile builder who can move fluidly across layers of the stack, understands when something is production-ready versus when it needs to be rebuilt properly, and takes pride in writing code and infrastructure that others can maintain and build on.

What you'll do:

  • Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems.
  • Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response.
  • Write clean, well-documented code across whatever languages and frameworks the work requires; apply sound engineering practices around testing, version control, and code review.
  • Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability.
  • Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage.
  • Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones.
  • Support access control and permissions management across systems and tooling, contributing to the team's broader security and governance practices.
  • Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible.
  • Other responsibilities as assigned by your Manager/Supervisor

What We're Looking For: 

  • 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work.
  • Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance.
  • Proficiency in at least one general-purpose programming language (e.g. Python) and comfort picking up new languages or frameworks as the work demands.
  • Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms.
  • Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts.
  • Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate.
  • Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models.
  • Strong attention to detail.
  • Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted.

Compensation:

San Francisco Bay Area, Los Angeles, and New York City Metropolitan Locations: $161K - $173K

All other National Locations: $141K - $162K

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