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Python Programmer Jobs in Simi Valley, CA (NOW HIRING)

AVUM INC

DevSecOps Engineer

Malibu, CA · On-site

$120K - $160K/yr

Experience with Ansible and Python/Bash scripting * NIST 800-53 compliance experience * Experience with Appian GovCloud

aKube

Senior Databricks Data Engineer - 1628

Calabasas, CA · On-site

$125 - $150/hr

Python * DevOps and CI/CD Responsibilities: * Design and build scalable batch and real-time data pipelines. * Develop data ingestion, processing, and analytical workflows. * Build data products and ...

Staffingine LLC

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Extensive experience in Python programming languages along with popular frameworks such as Flask Fast API etc * Experience with AIML deep learning TensorFlow Python NLP * Excellent understanding of ...

Redolent, Inc.

Automation QA Engineer

Culver City, CA · On-site

We are looking for an Automation QA Engineer to design, develop, and execute automated test scripts using Python to ensure the functionality, performance, and reliability of Apple-Beats audio ...

Superprof

Python Private Tutoring Jobs

Northridge, CA

$54 - $74.50/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Superprof

Python Private Tutoring Jobs

Northridge, CA · On-site

$54 - $74.50/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

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All JobsPython Programmer JobsPython Programmer Jobs in Simi Valley, CA

Python Programmer information

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How much do python programmer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python programmer in Simi Valley, CA is $70.30, according to ZipRecruiter salary data. Most workers in this role earn between $64.52 and $74.42 per hour, depending on experience, location, and employer.

What is a Python programmer?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

What do Python programmers do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

What are some common challenges Python programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers often seek candidates with skills in frameworks like Django or Flask and familiarity with tools such as Git and cloud platforms. The demand is expected to grow as Python continues to be a key language in emerging fields like artificial intelligence and machine learning.

Is Python Programmer still in demand in 2026?

Python programmers continue to be in high demand in 2026 due to the language's versatility in web development, data analysis, machine learning, and automation. Proficiency with frameworks like Django or Flask and knowledge of data science tools increase employability in various industries.
More about Python Programmer jobs

What are the most commonly searched types of Python Programmer jobs in Simi Valley, CA?

The most popular types of Python Programmer jobs in Simi Valley, CA are:

What are popular job titles related to Python Programmer jobs in Simi Valley, CA?

For Python Programmer jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Python Programmer jobs in Simi Valley, CA look for?

The top searched job categories for Python Programmer jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Python Programmer jobs?

Cities near Simi Valley, CA with the most Python Programmer job openings:

Python Programmer jobs near you
Infographic showing various Python Programmer job openings in Simi Valley, CA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $146,233 per year, or $70.3 per hour.

Senior Full Stack Developer (Python, Serverless, AI Fluency)

Los Angeles, CA • On-site

VYNYL
1 - 10 employees
Learn more about VYNYLexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago

Job description

Vynyl's technologists, designers and product strategists are experts at system modernization, new product development, and rescuing projects in distress. We use the best cloud-native and AI-enabled tools, and apply a battle-tested combination of Agile, Lean, and design thinking to collaboratively solve our client's most pressing challenges - and do it right the first time. We often work in regulated industries, such as healthcare, financial services, government and education. Our work helps detect diseases, identify kids who need special educational support, applies AI to support complex legal settlements, helps people access mental health services, and so much more.
The Role
As a Senior Full Stack Developer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.
A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.
Key Responsibilities
  • Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
  • Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
  • Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
  • Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
  • Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
  • Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
  • Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.
Qualifications
Required
  • 5+ years of professional experience in full-stack software development.
  • Expert-level proficiency in Python for backend development.
  • Strong working proficiency with Node.js.
  • Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
  • Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
  • Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
  • Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
  • Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).
Nice to Have
  • Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
  • Familiarity with TypeScript for robust front-end or Node.js development.
  • Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
  • Experience working in a regulated or compliance-focused environment.
  • A Bachelor's or Master's degree in Computer Science or a related technical field.
AI and the Evolution of Software Engineering & Ops
All candidates must be prepared to discuss and demonstrate the following during the interview process:
  • Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
  • Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
  • Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
  • Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.
Application Process
To apply, please submit your resume and a cover letter. Your cover letter should be informed by the "AI and Forward-Looking Requirements" section above.
The hiring process includes:
  • Initial screening email
  • A Technical Assessment Interview
  • A Panel Interview
Salary Range $140,000 - $175,000
Benefits for Full-Time Employees
Excellent health, dental, vision, and life insurance
Excellent 401(k) plan with annual employer match of 4%

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