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Python Automation Testing Jobs in Bothell, WA (NOW HIRING)

CoreWeave

HPC Performance Engineer

Bellevue, WA · On-site

... Python preferred, but others possible) * Experience writing robust, testable code * Experience diagnosing and fixing systems performance issues * Experiencing with implementing automation testing

CoreWeave

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

... Python preferred, but others possible) * Experience writing robust, testable code * Experience diagnosing and fixing systems performance issues * Experiencing with implementing automation testing

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How much do python automation testing jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for python automation testing in Bothell, WA is $57.32, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $65.29 per hour, depending on experience, location, and employer.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

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

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are some common challenges faced in a Python Automation Testing role, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is Python Automation Testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.
What job categories do people searching Python Automation Testing jobs in Bothell, WA look for? The top searched job categories for Python Automation Testing jobs in Bothell, WA are:
Python Automation Testing jobs near you
Automation Engineer, Materials Research Science

Automation Engineer, Materials Research Science

Meta

Redmond, WA

$184K/yr

Full-time

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta Reality Labs is seeking an engineer to advance materials research capabilities for next-generation wearables hardware. In this role, you will design, build, and operate the automation backbone of an autonomous materials discovery lab — connecting AI agents, robotic work-cells, and scientific instruments into a seamless, closed-loop pipeline. Working at the intersection of lab automation, agentive AI, and computational materials science, this role translates scientific workflows into production-grade software that compresses a discovery cycle from years into weeks, accelerating the development of novel materials for next-generation wearable devices and robotics.
Automation Engineer, Materials Research Science Responsibilities:
  • Define the long-term technical roadmap for laboratory automation systems, integrating robotic sample handling, automated metrology instruments, and data acquisition pipelines
  • Architect and own the end-to-end automation infrastructure for high-throughput materials characterization workflows, including optical, mechanical, and electrical property testing of wearable device materials
  • Collaborate with scientists, hardware engineers, and product teams to translate experiments and lab workflows into clear integration specifications, data models, and scalable automation solutions
  • Work with integrators and vendors to design, build, and commission automated workcells for materials R&D (process development, characterization, property testing, etc.)
  • Build and maintain middleware services that connect instruments, robots, and sensors to laboratory information management systems
  • Develop instrument drivers and automation scripts that generate command sequences and invoke vendor APIs/SDKs to orchestrate lab workflows end-to-end
  • Collaborate with AI and data scientists to tightly integrate the autonomous lab with LLM-based multi-agent systems for experiment planning, analysis, and decision-making
  • Design and implement data pipelines that capture, validate, and store experimental metadata to ensure data integrity and reproducibility across the discovery pipeline
  • Evaluate and benchmark automation performance — measuring throughput, reliability, error rates, and turnaround time of automated experimental workflows
  • Contribute to internal tooling, documentation, and best practices that enable the broader team to leverage automation capabilities
  • Drive the adoption of design-of-experiments methodologies and statistical process control within automated materials screening workflows
  • Define standards and best practices for automation system reliability, calibration, and data integrity across the materials research organization
  • Provide technical guidance to other engineers on automation architecture decisions, instrumentation integration patterns, and software design for laboratory systems
  • Evaluate and integrate emerging laboratory automation technologies, robotics platforms, and scientific instrumentation relevant to materials research

Minimum Qualifications:
  • Ph.D. degree in Electrical Engineering, Computer Science, Mechanical Engineering, Control Engineering, Materials Science, or relevant field, and/or equivalent practical experience
  • 6+ years of experience in lab automation, systems integration, or industrial automation software and/or relevant technical experience
  • Proficiency in Python, with experience writing production-quality automation and integration code
  • Hands-on experience with lab automation platforms (e.g., liquid handlers, robotic arms, automated characterization tools)
  • Experience with laboratory information management systems, electronic lab notebooks, or manufacturing execution systems
  • Demonstrated ability to translate scientific or manufacturing workflows into reliable, automated processes
  • Experience architecting scalable automation platforms for materials characterization or physical science research environments
  • Experience with statistical analysis and data pipeline design for high-throughput experimental datasets

Preferred Qualifications:
  • A track record of commissioning or bringing up complex lab, pilot, or manufacturing equipment
  • Familiarity with APIs, databases, and enterprise software integration patterns
  • Experience defining automation strategy and technical standards at an organizational level within a research or advanced hardware development environment
  • Familiarity with computational chemistry or materials science tools (DFT, MD, LAMMPS, ASE) and high-performance computing (HPC) environments
  • Experience with retrieval-augmented generation (RAG), knowledge graphs, or scientific literature mining in the context of lab systems
  • Publications or demonstrated accomplishments recognized in the field of laboratory automation or materials informatics
  • Experience with materials relevant to wearables hardware, such as optical coatings, waveguide materials, display substrates, or flexible electronics
  • Experience integrating robotic platforms with laboratory information management systems (LIMS) or material databases
  • Experience integrating AI/ML models or LLM-based agent frameworks into physical lab workflows
  • Experience with data historians, or real-time supervisory dashboards
  • Knowledge of industrial communication protocols
  • Familiarity with design-of-experiments frameworks and machine learning approaches applied to accelerated materials discovery

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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