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Python Automation Developer Jobs in California (NOW HIRING)

Job Title: Sr. QA Automation Engineer Location: 5 days onsite in San Jose, CA Duration: 6 months ... A successful candidate should be self-driven, an expert in Python automation, and capable of ...

RPA Developer Strong UiPath Development Experience (Certification Mandatory) Minimum 2 to 5 years ... NET skills (C# / VB.NET) and good to have basic scripting knowledge (VBA, Java, Python preferred ...

Strong programming experience for Test Automation with Python language is a must. * Experience in debugging and troubleshooting system-related issues like CPU, Memory, Network, and Storage.

Strong programming experience for Test Automation with Python language is a must. * Experience in debugging and troubleshooting system-related issues like CPU, Memory, Network, and Storage.

Python Test Automation Engineer

Los Angeles, CA · On-site

$49.50 - $65.50/hr

... programming of robotic automation fixtures and their integration into test frameworks, with Python Expertise in software version control systems including Git, GitHub, or GitLab Strong proficiency in ...

Python Test Automation Engineer

Cupertino, CA · On-site

$56.75 - $75/hr

... programming robotic automation fixtures and integrating them into test frameworks, using Python Expertise in software version control systems including Git, GitHub, or GitLab Strong proficiency in ...

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Python Automation Developer information

Will AI replace Python devs?

Python automation developers use programming skills to create scripts and tools that improve efficiency. While AI can automate certain repetitive tasks, it is unlikely to fully replace Python developers, as human oversight, problem-solving, and customization remain essential. AI tools can augment a developer's work but do not eliminate the need for skilled programmers.

Is Python automation a good career?

Python automation is a strong career choice for developers, as it is widely used in scripting, data processing, and testing across various industries. Skills in Python, along with knowledge of automation tools and frameworks, can lead to high demand and job growth in roles such as automation engineer or developer. Continuous learning and staying updated with new libraries and best practices enhance career prospects in this field.

What is the difference between Python Automation Developer vs QA Automation Engineer?

AspectPython Automation DeveloperQA Automation Engineer
Primary FocusDeveloping automation scripts and tools using Python for various applicationsDesigning and implementing automated tests to ensure software quality
Skills & CertificationsPython programming, scripting, automation frameworksTesting tools, scripting, Python knowledge often preferred
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing environments
Industry UsageTech companies, software firms, automation service providersSoftware companies, QA departments, testing service providers

While both roles involve Python scripting, the Python Automation Developer primarily creates automation solutions across various domains, whereas the QA Automation Engineer focuses on automating tests to improve software quality. The roles often overlap but differ in their core objectives and work environments.

How much does it automation with Python pay?

A Python Automation Developer typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Skilled developers with certifications and proficiency in tools like Selenium or Jenkins may command higher salaries, especially in tech hubs or enterprise environments.

What kind of jobs use Python automation?

Python automation is used in a variety of jobs including Python Automation Developer roles, where professionals create scripts to streamline tasks such as data processing, testing, and system management. These roles often require knowledge of scripting, APIs, and tools like Selenium, Jenkins, or Ansible to improve efficiency and reduce manual effort.
What are popular job titles related to Python Automation Developer jobs in California? For Python Automation Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Automation Developer jobs in California look for? The top searched job categories for Python Automation Developer jobs in California are:
What cities in California are hiring for Python Automation Developer jobs? Cities in California with the most Python Automation Developer job openings:
Infographic showing various Python Automation Developer job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Sr. QA Automation Engineer

Sr. QA Automation Engineer

VDart

San Jose, CA • On-site

Other

Posted 14 days ago


Job description

Job Title: Sr. QA Automation Engineer
Location: 5 days onsite in San Jose, CA
Duration: 6 months plus
Interview process:
One round onsite interview.
Brief Description:
The SQA team within Systems Engineering group is looking for a motivated Senior QA Automation Engineer to join our high-performance validation team.
Job Description:
Our organization focuses on the development and validation of enterprise-grade datacenter storage solutions. The SQA team is seeking a talented, detail-oriented automation engineer to ensure our products meet the highest standards of quality, performance, and reliability.
In this role, you will design, develop, automate, and execute comprehensive test plans to validate the functionality and endurance of enterprise SSDs and server storage systems. You will work closely with cross-functional development teams to identify, reproduce, and resolve defects throughout the product lifecycle. Your contributions will directly impact product maturity and customer satisfaction.
Internally, we are constantly innovating to enhance our test coverage using emerging technologies like generative AI and advanced automation platforms. A successful candidate should be self-driven, an expert in Python automation, and capable of thriving in a collaborative, fast-paced lab environment.
Responsibilities and Tasks:
• Test Strategy & Execution: Develop and maintain test plans, cases, and reports based on product requirements and industry standards (NVMe, PCIe, OCP).
• Automation Development: Design, build, and maintain sophisticated automated test scripts and frameworks using Python to drive regression suites and CI/CD pipelines.
• Storage Validation: Execute functional, endurance, and stress tests on enterprise SSDs (U.2/U.3, EDSFF) to maximize coverage.
• Lab & Infrastructure Management: Configure and maintain enterprise server hardware (Dell, HPE, Supermicro), including BIOS/UEFI, RAID controllers, and networking setup.
• Defect Management: Analyze test results, log defects in JIRA, and drive root-cause analysis for complex system-level failures.
• OS & Virtualization: Manage OS installations and configurations across Linux (RHEL, Ubuntu), Windows Server, and VMware vSphere/ESXi environments. Virtualization experience is a PLUS.
• Innovation: Stay current with emerging storage protocols and integrate AI/ML tools (e.g., Copilot, Claude) to optimize test generation and defect prediction. AI/ML tools development and know-how is a PLUS.
Required Qualifications:
• Education: Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
• Experience: 5+ years of hands-on experience in QA automation and systems validation, specifically focusing on enterprise storage or server systems.
• Coding: Expert-level proficiency in Python and Shell/Bash scripting for lab automation and test orchestration.
Preferred Qualifications:
• Storage Expertise: Deep understanding of SSD architecture, NVMe/PCIe protocols, and file systems (ext4, XFS, NTFS).
• Tooling: Proficiency with IO generation tools such as FIO, VDBench, IOMeter or other equivalent tools.
• Virtualization: Advanced experience with VMware lifecycle management (cloning, migrating, and troubleshooting VMs). Virtualization Knowledge is a PLUS
• Emerging Tech: Experience utilizing generative AI or automation intelligence to enhance test development. AI env/setup/deployment know-how is a PLUS