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Python Aws Jobs in California (NOW HIRING)

Senior Software Engineer (SF)

San Francisco, CA · On-site

$144K - $190K/yr

Develop and maintain backend systems using Python, AWS, Kafka, Postgres, and DynamoDB for scalability and reliability. * Establish, track, and iterate on AI performance metrics, leveraging data to ...

Python (minimum 2 years) AWS (minimum one year) SQL (minimum two years) BS in Computer Science or equivalent degree. Experience with Python libraries for ML, NLP, Search, AI . Experience with NER ...

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

Preferred : • Experience with cloud platforms such as AWS, Azure, or GCP. • Knowledge of Docker ... Python, database, DevOps, or secure software development certifications are a plus. Company

AWS API Gateway integration, API Gateway implementation (Authorize experience), Python, Java Spring Boot, Terraform Scripting, CICD pipeline (harness tool) Role Overview: We are seeking a skilled AWS ...

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... Python and API's. • Excellent expertise in AI/ML Technologies • Excellent expertise in Numpy ... AWS Cloud ( S3 , RDS, IAM, Docker, Kubernetes). • Good experience of deployment tools like ...

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... APIs (Python, AWS), interactive web applications (Django backend and Vue.js frontend), pipeline orchestrations, and associated infrastructure. • Contribute to the long-term technical roadmap by ...

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Python Aws information

See California salary details

$13

$57

$85

How much do python aws jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python aws in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

What AWS jobs are in high demand?

AWS-related jobs in high demand include Cloud Engineer, Solutions Architect, DevOps Engineer, and Cloud Developer. These roles often require skills in cloud infrastructure, automation, and certifications like AWS Certified Solutions Architect or AWS Certified DevOps Engineer.

Are Python still in demand in 2026?

Python developers, including those working with AWS, are expected to remain in high demand in 2026 due to Python's widespread use in cloud computing, automation, data analysis, and machine learning. Proficiency in cloud platforms like AWS and related tools such as Boto3 can enhance job prospects for Python professionals. Staying updated with cloud certifications and Python frameworks will support continued employability.

What is the salary of Python AWS developer?

The salary of a Python AWS developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications such as AWS Certified Developer. Senior roles or those in high-demand areas may offer higher compensation.

Does AWS work with Python?

AWS provides extensive support for Python through its SDK called Boto3, which allows developers to interact with AWS services programmatically. Python is commonly used in AWS environments for automation, data processing, and serverless applications like AWS Lambda. Knowledge of Python and AWS services is valuable for many cloud-related roles.

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

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.
What job categories do people searching Python Aws jobs in California look for? The top searched job categories for Python Aws jobs in California are:
What cities in California are hiring for Python Aws jobs? Cities in California with the most Python Aws job openings:
Python Backend Engineer

Python Backend Engineer

TechnoSphere, Inc.

San Jose, CA

$10/hr

Contractor

Posted 27 days ago


Job description

Mandatory Skills
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with FastAPI, Django
AI Tooling: Familiarity with LangChain, LlamaIndex, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues
Role Overview:
We are looking for a Python Backend Engineer to build the backbone of our platform. You will be responsible for creating high-performance APIs, integrating advanced AI agent logic, and ensuring our infrastructure remains rock-solid as we scale. If you enjoy solving complex architectural puzzles and want to work at the intersection of traditional backend engineering and AI
Core Responsibilities
Scalable API Development: Design, build, and maintain robust, high-throughput APIs (FastAPI, Django, or Flask) capable of handling millions of requests.
Agent Logic Integration: Architect the backend systems that power our AI agents, managing long-running tasks, state persistence, and seamless communication between LLMs and our core services.
Authentication & Security: Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data and internal endpoints.
Routing & Orchestration: Design efficient request routing and service communication patterns using tools like API Gateways, or Service Meshes.
Required Technical Skills
Language: Expert-level proficiency in Python (3.10+ preferred).
Frameworks: Deep experience with FastAPI, Django
AI Tooling: Familiarity with LangChain, Llama Index, or similar frameworks for agentic workflows.
Databases: Strong knowledge of SQL (PostgreSQL) and NoSQL (Redis, MongoDB), plus experience with Vector Databases (Pinecone, Weaviate).
Infrastructure: Proficiency with Docker, AWS/GCP, and asynchronous task queues