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Senior Python Engineer Jobs in San Rafael, CA (NOW HIRING)

ElasticSearch or Lucene - Experience in a fast-paced/customer-centric agile startup environmentSo, if you are a Senior Software Engineer with experience in Object-Oriented Python Development, please ...

Sr. Python Developer

San Francisco, CA ยท On-site

$143K - $192K/yr

Skill Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps Location San Francisco, CA Max Salary $ DOE Per Annum Employment Type Direct Jobs (Full Time) Description Engineers who ...

They are seeking a Sr. Staff Python Engineer to develop software that automates testing and launching rockets, as well as tools for data collection and analysis in the space industry.

The Sr. Staff Python Engineer will develop software to automate testing and launching rockets, build tools for data analysis, and contribute to innovative technologies in the space industry.

They are looking for a Sr. Staff Python Engineer to develop software that automates the testing and launching of rockets, as well as build tools for data collection and analysis in the space industry.

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We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development ...

Staff Software Engineer, Python

Oakland, CA ยท On-site

$106K - $200K/yr

What you'll need: * 7+ years of professional software engineering experience, including 2+ years in a Staff or equivalent senior technical leadership role. * Expertise in Python (Django, FastAPI, or ...

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Senior Python Engineer information

See San Rafael, CA salary details

$61.3K

$158.3K

$217.4K

How much do senior python engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior python engineer in San Rafael, CA is $158,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,400.00 and $182,300.00 per year, depending on experience, location, and employer.

Are senior Python engineers in demand?

Senior Python engineers are highly in demand due to the language's widespread use in web development, data analysis, machine learning, and automation. Companies seek experienced developers with strong problem-solving skills and knowledge of frameworks like Django or Flask, making this a competitive and growing field.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What cities near San Rafael, CA are hiring for Senior Python Engineer jobs? Cities near San Rafael, CA with the most Senior Python Engineer job openings:
Infographic showing various Senior Python Engineer job openings in San Rafael, CA as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $158,261 per year, or $76.1 per hour.

Senior ML Operations Engineer - Python

Texas State Library and Archives Commision

Oakland, CA โ€ข On-site

Full-time

Re-posted 5 days ago


Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.