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Python Django Developer Jobs in Pasadena, CA (NOW HIRING)

Univision

Software Engineer

Los Angeles, CA · On-site

$108K/yr

... a developer. * Solid experience in developing back-end applications including RESTful APIs using scripting language such as Python. * Working knowledge of Django framework and UI development ...

Centerfield

Solutions Architect

Los Angeles, CA · On-site

$150K - $180K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field. * 10+ years of experience in software development * Strong proficiency in Python and related frameworks (e.g., Django ...

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All JobsPython Django Developer JobsPython Django Developer Jobs in Pasadena, CA

Python Django Developer information

See Pasadena, CA salary details

$25.1K

$125.6K

$435.8K

How much do python django developer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for python django developer in Pasadena, CA is $125,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $173,400.00 per year, depending on experience, location, and employer.

What is a Python Django Developer?

A Python Django Developer is a software professional who specializes in building web applications using the Django framework, which is written in Python. Django is known for its rapid development capabilities, security, and scalability. Developers in this role are responsible for designing, coding, testing, and maintaining web applications, integrating databases, and ensuring that applications follow best practices. They often work as part of a team and collaborate with front-end developers, designers, and other stakeholders to deliver robust web solutions.

What Does a Python/Django Developer Do?

A Python Django developer writes server-side web applications using Django software. You write code and develop back-end components for applications, then integrate your work with front-end developers. You must test, troubleshoot, and debug code for any application you work on. You write and implement software solutions that integrate different systems. Your responsibilities include writing reusable and testable code and supporting new projects with a Level-3 perspective. Other duties include designing and implementing low-latency, high-availability, and performant applications. You also implement security and data protection.

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

To thrive as a Python Django Developer, you need strong proficiency in Python programming, web development fundamentals, and deep understanding of the Django framework, typically supported by a degree in computer science or related experience. Familiarity with version control systems like Git, RESTful APIs, relational databases, and deployment tools is essential, and certifications in web development or Django can be beneficial. Problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills in this role. These skills and qualities ensure the delivery of robust, scalable web applications and foster effective teamwork in dynamic development environments.

What are some common challenges Python Django Developers face when working on large-scale projects?

Python Django Developers working on large-scale projects often encounter challenges such as managing complex database migrations, optimizing performance for high-traffic applications, and ensuring code maintainability across multiple team members. Effective communication and version control practices are vital when collaborating with front-end developers, QA engineers, and DevOps teams. Developers also need to stay up-to-date with security best practices to protect applications from vulnerabilities. Proactively addressing these challenges helps ensure smooth development cycles and successful project outcomes.

What is the difference between Python Django Developer vs Python Flask Developer?

AspectPython Django DeveloperPython Flask Developer
Required CredentialsBachelor's in Computer Science, Python, Django certificationsBachelor's in Computer Science, Python, Flask familiarity
Work EnvironmentLarge-scale web applications, full-stack developmentMicroservices, lightweight APIs, flexible projects
Industry UsageE-commerce, social media, enterprise appsPrototyping, startups, custom APIs
Search & Comparison IntentOften compared for full-stack capabilitiesCompared for lightweight, flexible solutions

Python Django Developers typically work on large, complex web applications with a structured framework, while Python Flask Developers focus on lightweight, flexible microservices and APIs. Both roles require Python skills, but Django developers often have additional experience with full-stack development and enterprise environments, making them suitable for larger projects. Flask developers are preferred for rapid prototyping and smaller, custom solutions.

More about Python Django Developer jobs
What are the most commonly searched types of Python Django Developer jobs in Pasadena, CA? The most popular types of Python Django Developer jobs in Pasadena, CA are:
What are popular job titles related to Python Django Developer jobs in Pasadena, CA? For Python Django Developer jobs in Pasadena, CA, the most frequently searched job titles are:
What job categories do people searching Python Django Developer jobs in Pasadena, CA look for? The top searched job categories for Python Django Developer jobs in Pasadena, CA are:
What cities near Pasadena, CA are hiring for Python Django Developer jobs? Cities near Pasadena, CA with the most Python Django Developer job openings:
Python Django Developer jobs near you
Infographic showing various Python Django Developer job openings in Pasadena, CA as of July 2026, with employment types broken down into 60% Full Time, 13% Part Time, and 27% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $125,559 per year, or $60.4 per hour.
AI Application engineer

AI Application engineer

Inficare Technologies

Santa Clarita, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Role - AI Application engineer
Location - Santa Clara, CA (Onsite)
Duration - 12+ months
Need candidate to Prepare , Complete Coding assessment
AI Application engineer who understands data as well as application ; primary databricks and secondary snowflake
Description
Key Responsibilities
  • Design and develop AI-powered applications using machine learning, generative AI, and data-driven services.
  • Integrate ML models, LLMs, and AI services into web, mobile, and enterprise applications.
  • Build production-grade APIs and microservices to serve AI predictions and insights.
  • Collaborate with data scientists and ML engineers to operationalize models.
  • Implement prompt engineering, model orchestration, and inference pipelines.
  • Ensure performance, scalability, security, and reliability of AI applications.
  • Work on real-time and batch AI inference use cases.
  • Implement observability and monitoring for AI behavior and application health.
  • Handle model versioning, rollback strategies, and A/B testing.
  • Ensure compliance with data privacy, responsible AI, and governance standards.
  • Participate in architecture reviews and contribute to AI application best practices.
  • Troubleshoot application and inference issues in production environments.
  • Mentor junior developers and contribute to technical documentation.

Required Skills & Qualifications
Application Development
  • 5-6 years of experience in application development or software engineering.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with backend frameworks (FastAPI, Flask, Django, Node.js).
  • Strong understanding of REST APIs, microservices, and system design.
  • Experience with frontend frameworks is a plus (React, Angular, Vue).

AI & Machine Learning
  • Hands-on experience integrating ML models and AI services into applications.
  • Understanding of ML lifecycle, inference patterns, and model usage.
  • Experience with Generative AI / LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face).
  • Knowledge of prompt engineering, context management, and RAG (Retrieval-Augmented Generation).
  • Familiarity with embeddings and vector search.

Data & Backend Integration
  • Strong SQL skills and experience with databases (relational & NoSQL).
  • Experience integrating with data pipelines, feature stores, and analytics systems.
  • Knowledge of APIs, caching layers, and messaging systems (Kafka, RabbitMQ).

Cloud & DevOps
  • Hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience deploying AI applications using Docker & Kubernetes.
  • Familiarity with CI/CD pipelines.
  • Experience with cloud-native AI services is a plus.

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