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Python S Jobs in Fairfield, CA (NOW HIRING)

Socket

Forward Deployed Engineer, Python

San Francisco, CA · Remote

$125K - $200K/yr

About the Role We're looking for a high-performing Python focused Forward Deployed Engineer to serve as the technical bridge between Socket's enterprise customers and our engineering teams. In this ...

Hired Recruiters

Senior Python Developer (Back-end)

Austin, TX · On-site +1

$120.40K - $162.10K/yr

You are a python master * Love building APIs using Flask/Django/FastAPI or any other modern framework * Enjoy building scalable APIs * Enjoy tackling difficult scaling challenges * Take pride in ...

Checkr

Senior Python Engineer, Truework

San Francisco, CA

$143.10K - $192.60K/yr

Proficiency in Python and Javascript (or similar languages/frameworks) * Experience developing RESTful APIs * Strong communication and documentation skills * A strong sense of ownership from feature ...

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How much do python s jobs pay per hour?

As of May 30, 2026, the average hourly pay for python s in Fairfield, CA is $59.66, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $67.79 per hour, depending on experience, location, and employer.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

What are popular job titles related to Python S jobs in Fairfield, CA? For Python S jobs in Fairfield, CA, the most frequently searched job titles are:
What job categories do people searching Python S jobs in Fairfield, CA look for? The top searched job categories for Python S jobs in Fairfield, CA are:
What cities near Fairfield, CA are hiring for Python S jobs? Cities near Fairfield, CA with the most Python S job openings:
Python S jobs near you

Senior ML Operations Engineer - Python

Texas State Library and Archives Commision

Oakland, CA • On-site

Full-time

Posted 26 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.

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