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Senior Python Automation Jobs (NOW HIRING)

Sr. Python/AWS Developer

Los Angeles, CA ยท On-site

$130K - $176K/yr

NAVA Software solutions is looking for a Sr. Python/AWS Developer for one of our clients. Details ... MarTech and content automation experience is a plus. * 12-14 yrs of experience and ability to work ...

We are seeking an experienced Senior Python/QA Engineer to serve as a quality gatekeeper across the ... The ideal candidate will have strong expertise in Python automation, Playwright, Selenium, API ...

ClifyX is a company seeking a Senior Specialist in Python Automation with a strong background in data technologies. The role involves designing and implementing scalable data-driven solutions ...

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How much do senior python automation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior python automation in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

Is senior Python automation a good career?

Senior Python automation roles are in high demand across industries such as finance, technology, and manufacturing, as organizations seek to improve efficiency through scripting and process automation. These positions typically require strong programming skills, knowledge of automation tools like Selenium or Jenkins, and experience with software development best practices. The career offers opportunities for advancement, specialization, and competitive salaries, making it a solid choice for those with expertise in Python and automation.

Which Senior Python Automation job has the highest salary?

Senior Python Automation roles typically offer high salaries, especially in industries like finance, technology, and data science. The highest salaries are often found in large tech companies or financial institutions, where advanced automation skills, experience, and knowledge of tools like Selenium, Jenkins, or cloud platforms are valued. Salaries can exceed $130,000 annually, depending on location, company size, and candidate expertise.
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Infographic showing various Senior Python Automation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Senior QA Automation Engineer / SDET with strong Python automation

Plano, TX โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Other

Posted 5 days ago


Job description

Request ID: 122954-1
Job Title: IT - Technology Specialist - IT Service, Support and Operations | Analytics - Packages | Python - Big Data
Work Location: Plano, TX 75075
MSP Contact: Manjunath, Raju
Detailed JD Given below:
We are seeking a Senior Python Automation Engineer (QA-Python) . The ideal candidate will serve as the quality gatekeeper across the full delivery lifecycle - validating business requirements shared by the Business Unit (BU), authoring and executing end-to-end system tests, and certifying the completeness of each requirement against acceptance criteria defined in the Business Requirements Document (BRD). This role Python Automation testing, data validation, and emerging Agentic AI/Gen AI testing disciplines.
Key Responsibilities
Strong experience in Python Automation, Playwright, Selenium and Azure concepts Build and optimize Test Strategies and Test Plans.
Map each BRD requirement to testable acceptance criteria; identify gaps and ambiguities before development begins Maintain a living Requirements Traceability Matrix (RTM) linking BRD items โ†’ test cases โ†’ test results Participate in BRD walkthroughs and sign-off reviews with business stakeholders (e.g BU leads.
Design, develop, and execute end-to-end test scenarios covering the full data pipeline: source systems โ†’ Databricks/Snowflake transformations โ†’ dashboard UI Validate data accuracy acrss Databricks Unity Catalog schemas Write and execute SQL-based data validation scripts Develop Python-based data quality frameworks (Great Expectations, Deequ, or custom) for automated regression checks Validate data completeness, referential integrity, and schema evolution across curated and raw layers Strong experience in API Testing covering REST/GraphQL endpoints Validate API contracts (request/response schemas, status codes, headers) using tools such as Bruno, Postman, requests, httpx, or Swagger/OpenAPI validators Perform functional, integration, and regression testing of API endpoints including:
Data retrieval APIs (market metrics, KPI summaries, quarterly aggregations) Authentication & authorization flows (token validation, role-based access, session management) Error handling and edge cases (malformed payloads, rate limiting, timeout behavior, 4xx/5xx responses) Validate API performance under load - response times, throughput, and concurrency using Locust, k6, or JMeter Test API versioning, backward compatibility, and deprecation handling Automate API contract testing within CI/CD pipelines to catch breaking changes before deployment Validate data consistency between API responses and underlying Databricks/SQL query outputs
Supervisory Responsibility: No direct reports
Required Skills & Qualifications
Technical Skills
8+yrs of Deep expertise in Playwright (Python, TypeScript, JavaScript), Selenium WebDriver, API automation, and CI/CD integration.
Strong hands-on experience in building scalable automation frameworks with Docker, Azure DevOps, Jenkins, and GitHub Actions.
Knowledge in CI/CD automation, deployment pipelines, and DevOps practices.
Strong expertise in Requirement traceability till Defect management and ensuring no escaped defects Strong hands-on experience in API Testing Experience in Test Strategy, Test Case planning and execution
Qualifications
8+ years of experience in Python and automation frameworks.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration skills in a global delivery environment
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