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Pytest Jobs in Austin, TX (NOW HIRING)

FHR

MO3-613-Senior Azure Cloud Engineer 11694-1

Austin, TX · Remote

$57 - $76.25/hr

... PYTEST. • HANDS-ON EXPERIENCE WITH AZURE API MANAGEMENT, STORAGE ACCOUNTS, ACR, AKS, CONTAINER APPS, FUNCTION APPS, KEY VAULT, EVENT GRID, SQL MANAGED INSTANCE. PREFERRED SKILLS (RANK IN ORDER OF ...

BusPatrol LLC

Senior Software Development Engineer

Austin, TX · On-site

$121K - $160K/yr

Familiarity with testing and linting tools (pytest, rspec, jest, Flake8, RuboCop). * Excellent communicator with a strong collaborative mindset and a passion for mentoring and peer reviews. * BS/MS ...

Neurophos Inc

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

Testing & QA: pytest, GoogleTest, or similar frameworks; static analysis tools * CI/CD: Jenkins, GitHub Actions, GitLab CI, or similar systems * LLM Technologies: Transformer architectures, attention ...

SmithRx

Senior Staff Automation Engineer

Austin, TX

$103K - $135K/yr

Experience with API automation frameworks such as Pytest or REST Assured * Experience with automation frameworks such as Selenium, Cypress, or Playwright * Familiarity with Page Object Model for UI ...

SmithRx

Senior Automation Engineer

Austin, TX · On-site

$103K - $135K/yr

Experience with API automation frameworks such as Pytest or REST Assured * Experience with automation frameworks such as Selenium, Cypress, or Playwright * Familiarity with Page Object Model for UI ...

All JobsPytest JobsPytest Jobs in Austin, TX

Pytest information

See Austin, TX salary details

$5

$33

$62

How much do pytest jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for pytest in Austin, TX is $33.54, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $44.57 per hour, depending on experience, location, and employer.

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What are popular job titles related to Pytest jobs in Austin, TX? For Pytest jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Austin, TX look for? The top searched job categories for Pytest jobs in Austin, TX are:
What cities near Austin, TX are hiring for Pytest jobs? Cities near Austin, TX with the most Pytest job openings:
Pytest jobs near you
Infographic showing various Pytest job openings in Austin, TX as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 78% Physical, 9% Hybrid, and 13% Remote job distribution, with an average salary of $69,763 per year, or $33.5 per hour.

Senior SDET / Automation Architect - AI, Cloud & Quality Engineering

Futran Tech Solutions Pvt. Ltd.

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Automation Architect - AI, Cloud & Quality Engineering
LPL Financial
Austin TX [Hybrid] - Need only local profiles
1. Automation Framework Engineering
  • Collaborate closely with developers to understand system architecture, data flows, and event-driven behaviors for effective automation design.
  • Build and enhance end-to-end automation frameworks supporting API, integration, and data validation layers.
  • Develop integration test suites to ensure reliability and stability across development and pre-production environments.
  • Automate regression, functional, and event-driven validations using Playwright, PyTest, TestNG, and related tools.
  • Contribute to modernization initiatives transitioning from legacy to distributed systems, ensuring comprehensive automation coverage and system resilience.

2. AI & Intelligent Test Enablement
  • Leverage tools such as GitHub Copilot, ChatGPT, and LLM-based agents to assist in automation scripting, test generation, and analysis.
  • Integrate GenAI tools for test documentation, failure triage, and predictive quality analytics.
  • Experiment with autonomous testing agents capable of self-triggering and monitoring test pipelines.
  • Drive the adoption of AI-enhanced automation strategies to improve efficiency, quality insights, and test coverage.

3. Cloud & DevOps Integration
  • Integrate automation frameworks within CI/CD pipelines (GitHub Actions, Jenkins, TeamCity) to enable continuous validation.
  • Deploy and manage test environments on AWS (EKS, SQS, Glue, Lambda, DynamoDB, PostgreSQL).
  • Implement observability and test telemetry to monitor pipeline health, performance, and coverage trends.
  • Collaborate with DevOps and platform engineering teams to ensure environment consistency, scalability, and release readiness.

4. Agile Collaboration & Leadership
  • Actively participate in Agile/Scrum ceremonies-including sprint planning, daily standups, and retrospectives-to align testing and development objectives.
  • Mentor engineers in automation best practices and modern framework adoption.
  • Foster cross-functional alignment by collaborating with developers, architects, and product owners to ensure quality is engineered from the start.
  • Champion a quality-first culture by embedding continuous testing and automation throughout the delivery lifecycle.

Tech Stack & Tools
Languages: Java/C#/ Python, JavaScript/TypeScript
Frameworks: Playwright, Selenium, PyTest, TestNG, JUnit
Cloud & DevOps: AWS (EKS, Glue, SQS, Lambda, DynamoDB), Jenkins, GitHub Actions, Docker, Kubernetes
Databases: PostgreSQL, Redis, DynamoDB, MongoDB
AI Tools: GitHub Copilot, ChatGPT, OpenAI Assistants
Methodologies: Agile, Scrum, Domain-Driven Design, Event-Driven Architecture
Required Skills & Experience
  • Experience in test automation and quality engineering within complex enterprise environments.
  • Strong understanding of software development workflows with proven collaboration alongside development and architecture teams.
  • Expertise in Playwright and API automation frameworks, with proficiency in Java, Python, or C#.
  • Experience testing event-driven systems and microservice-based architectures.
  • Hands-on experience with AWS cloud services and CI/CD automation practices.
  • Exposure to GenAI tools (Copilot, ChatGPT, LLM-based assistants) for enhanced automation productivity.
  • Proven experience working in Agile/Scrum environments as an active and contributing team member.

Preferred Qualifications
  • Knowledge of AI-based automation, autonomous test agents, or intelligent QA platforms.
  • Certifications in AWS DevOps, Google Cloud, or Azure Fundamentals.
  • Experience with financial systems or data-intensive platforms.
  • Strong leadership and communication skills, with a passion for mentoring and cross-functional collaboration.

Apply