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Python Sdet Jobs in Austin, TX (NOW HIRING)

If you enjoy developer-adjacent work, framework building, and turning flaky tests into high-signal automation, you'll fit right in. Our QE team focuses on enabling fast, reliable validation for ...

Description If you enjoy developer-adjacent work, framework building, and turning flaky tests into high-signal automation, you'll fit right in. Our QE team focuses on enabling fast, reliable ...

The QA Automation Engineer/SDET will play a critical role in ensuring the quality and reliability of our software products through the design, development, and execution of automated test suites.

The QA Automation Engineer/SDET will play a critical role in ensuring the quality and reliability of our software products through the design, development, and execution of automated test suites.

They are seeking a Software Development Engineer to architect, design, and implement scalable ... in various programming languages including JavaScript, Ruby, and Python. • Partner with team ...

We are seeking a dynamic individual to join our client's team as a Software Development Engineer in Test (SDET) for their mobile platforms. In this pivotal role, you will be instrumental in designing ...

Java API testing

Austin, TX · On-site

$50.50 - $65.50/hr

Experience: 6+ years in SDET or Quality Engineering roles. * Java Mastery: Deep expertise in Java (8 or higher) ; ability to write clean, maintainable, and object-oriented code. * Cloud Expertise: 2+ ...

As an SDET for Client Experiences at Realtor.com (RDC), you are a key contributor to the quality of the mobile interfaces that power our primary consumer and agent interactions. You will be ...

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Python Sdet information

See Austin, TX salary details

$13

$58

$85

How much do python sdet jobs pay per hour?

As of May 31, 2026, the average hourly pay for python sdet in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python SDET job?

A Python SDET (Software Development Engineer in Test) is a professional who specializes in developing automated testing frameworks, writing test scripts, and ensuring software quality using Python. They possess both programming and testing skills, allowing them to create scalable automated tests, identify bugs, and improve software reliability. Python SDETs collaborate with developers, QA teams, and DevOps engineers to integrate testing into the software development lifecycle. Their role is crucial in achieving continuous integration and deployment by automating regression, performance, and API tests.

What are the key skills and qualifications needed to thrive in the Python Sdet position, and why are they important?

To thrive as a Python SDET (Software Development Engineer in Test), you need strong programming skills in Python, a solid understanding of software testing methodologies, and experience with automated testing frameworks. Familiarity with tools like Selenium, Pytest, API testing platforms, and CI/CD systems, along with relevant testing or Python certifications, is highly beneficial. Attention to detail, problem-solving ability, teamwork, and clear communication skills set standout candidates apart. These competencies are critical for designing robust test automation, ensuring software quality, and collaborating effectively in dynamic development teams.

What does a typical day look like for a Python SDET?

A typical day for a Python SDET involves writing and maintaining automated test scripts, reviewing new software features, and working closely with developers to identify and resolve defects early in the development cycle. You'll often participate in daily standups, collaborate with QA and DevOps teams, and contribute to continuous integration and deployment pipelines. The role may also require monitoring test execution results, analyzing failures, and updating test plans or documentation as needed. This dynamic mix of coding, testing, and teamwork ensures software quality is integrated throughout the development lifecycle.
What are the most commonly searched types of Python Sdet jobs in Austin, TX? The most popular types of Python Sdet jobs in Austin, TX are:
What job categories do people searching Python Sdet jobs in Austin, TX look for? The top searched job categories for Python Sdet jobs in Austin, TX are:
Infographic showing various Python Sdet job openings in Austin, TX as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 67% In-person, 22% Hybrid, and 11% Remote job distribution, with an average salary of $120,861 per year, or $58.1 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 1 day ago. 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.