ZipRecruiter

Log In

1

Jr Python Developer Jobs in San Francisco, CA (NOW HIRING)

All JobsJr Python Developer JobsJr Python Developer Jobs in San Francisco, CA

Jr Python Developer information

See San Francisco, CA salary details

$15

$69

$101

How much do jr python developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for jr python developer in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is the difference between Jr Python Developer vs Python Developer?

AspectJr Python DeveloperPython Developer
Required SkillsBasic Python, understanding of frameworks, entry-level codingProficient Python, experience with frameworks, problem-solving skills
Experience0-2 years2+ years
Work EnvironmentInternships, junior roles, team supportFull projects, independent tasks, leadership potential
CertificationsOptional, beginner coursesAdvanced courses, certifications preferred

The main difference between a Jr Python Developer and a Python Developer lies in experience and skill level. Jr Python Developers are typically entry-level, focusing on learning and supporting projects, while Python Developers have more experience, handle complex tasks, and contribute more independently. Both roles are common in tech companies and require a solid understanding of Python programming.

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

To thrive as a Jr Python Developer, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant computer science degree or equivalent experience. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to frameworks such as Django or Flask are typically required. Strong communication, eagerness to learn, and teamwork skills help you collaborate effectively and adapt to evolving project needs. These skills and qualities are crucial for writing efficient code, integrating smoothly with development teams, and growing within a fast-paced tech environment.

Will AI replace junior dev?

AI is unlikely to fully replace junior Python developers, as they perform tasks that require problem-solving, creativity, and understanding of context. Instead, AI tools can assist junior developers by automating repetitive coding tasks and improving productivity, allowing them to focus on learning and complex problem-solving. Developing skills in AI and automation tools can enhance a junior developer's value in the job market.

What are some typical projects or tasks a Jr Python Developer might work on within their first year?

As a Jr Python Developer, you can expect to be involved in tasks such as writing and maintaining basic scripts, assisting in automating routine processes, supporting the development and testing of web applications, and fixing minor bugs. You’ll likely work closely with senior developers and team leads, participating in code reviews and learning best practices. Over time, you may take on more responsibility, such as contributing to larger features or collaborating with cross-functional teams like QA or DevOps.

Is there a demand for Python developers?

Python developers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, web development, and machine learning. Entry-level roles often require knowledge of frameworks like Django or Flask and proficiency in core Python skills. The job market for Python developers is expected to grow as organizations increasingly adopt Python-based solutions.

How much does a junior Python programmer make?

A junior Python programmer typically earns between $50,000 and $80,000 annually, depending on location, industry, and experience. Entry-level roles often require basic knowledge of Python, version control, and problem-solving skills, with salaries increasing as skills and experience grow.

What does a Jr Python Developer do?

A Jr Python Developer is an entry-level programmer who specializes in writing, testing, and maintaining code using the Python programming language. They typically work under the guidance of senior developers and are responsible for building basic applications, automating tasks, fixing bugs, and learning best coding practices. Their role often involves collaborating with other team members, participating in code reviews, and continuously improving their technical skills to contribute effectively to software projects.

How to become a junior Python developer?

To become a junior Python developer, you should learn Python fundamentals through online courses or tutorials, build a portfolio of projects to demonstrate your skills, and gain familiarity with tools like Git and basic understanding of databases. Entry-level positions often require some coding experience and problem-solving ability, which can be developed through practice and personal projects.
What are popular job titles related to Jr Python Developer jobs in San Francisco, CA? For Jr Python Developer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Jr Python Developer jobs in San Francisco, CA look for? The top searched job categories for Jr Python Developer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Jr Python Developer jobs? Cities near San Francisco, CA with the most Jr Python Developer job openings:
Jr Python Developer jobs near you
Infographic showing various Jr Python Developer job openings in San Francisco, CA as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 1% Temporary, and 12% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $143,658 per year, or $69.1 per hour.
Senior Engineer II, AI Inference Engine Systems

Senior Engineer II, AI Inference Engine Systems

DigitalOcean

San Francisco, CA • Remote

$167K - $209K/yr

Other

Posted 8 days ago

Job description

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer II to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You'll Do:
  • Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
  • System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
  • Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
  • Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
  • Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
  • Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.
What You'll Bring to DigitalOcean:
  • Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
  • AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
  • Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
  • Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
  • Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
  • Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
  • Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
  • Open Source Mindset: Experience integrating and building with open-source software.
Compensation Range: 
  • $167,200 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

Apply