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Python Tester Jobs in Austin, TX (NOW HIRING)

PayPal

Senior Software Engineer - Python

Austin, TX

$130K - $193K/yr

Experience with backend development using Python and frameworks such as Django or Flask ... Experience implementing CI/CD, automated testing, and observability to improve delivery quality and ...

PayPal

Senior Software Engineer - Python

Austin, TX · On-site

$130K - $193K/yr

Experience with backend development using Python and frameworks such as Django or Flask ... Experience implementing CI/CD, automated testing, and observability to improve delivery quality and ...

ICONMA

Software QE Engineer

Austin, TX · On-site

... testing across Web, iOS, macOS, and backend services • Proficiency in Java, Python, Unix/Shell, SQL, CSS, HTML, XML • Thrives in a fast-paced, dynamic environment with rapidly evolving ...

Pentair

Testing JR - LDP - IT

Austin, TX · On-site

Participate in the design and improvement of testing methodologies and processes. * Collaborate ... Familiarity with at least one programming language (e.g., Python, Java) is a plus. * Experience ...

Futran Tech Solutions Pvt. Ltd.

QE Engineer

Austin, TX · On-site

$71K - $92K/yr

Writing robust code to perform functional, non-functional, and integration testing, often using languages like Java, Python, or C#. * Collaboration: Working with developers and product managers to ...

Retym

SW Engineer

Austin, TX · On-site

Familiar with Python packages for GWeb UI application development * Previous experience in remote or distributed team environments * Experience in setting up or maintaining testing lab infrastructure

Programmers.io

QA Engineer

Austin, TX · On-site

... Python preferred) Preferred Skills • Experience in testing HW • Understanding of computer architecture, EE fundamentals, and concepts of power consumption and power management • Ability to ...

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Showing results 1-20

All JobsPython Tester JobsPython Tester Jobs in Austin, TX

Python Tester information

See Austin, TX salary details

$22.8K

$138.7K

$200.7K

How much do python tester jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python tester in Austin, TX is $138,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $163,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Tester?

A Python Tester is usually responsible for designing, developing, and executing automated test scripts to ensure the functionality and quality of software applications. Their day-to-day tasks often include writing new test cases, debugging and maintaining existing scripts, analyzing test results, and reporting defects to the development team. They also collaborate closely with software developers, QA analysts, and project managers to ensure timely detection and resolution of issues. Additionally, Python Testers may participate in code reviews and contribute to continuous integration processes to streamline software releases.

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

To thrive as a Python Tester, you need a strong background in Python programming, automated testing frameworks, and software QA methodologies, often supported by a degree in computer science or related fields. Familiarity with tools like pytest, Selenium, Jenkins, and knowledge of version control systems such as Git is typically required, and certifications in software testing (e.g., ISTQB) can be advantageous. Attention to detail, analytical thinking, and effective communication are important soft skills for identifying and reporting bugs while collaborating with developers and QA teams. These competencies are essential to ensure software reliability, efficiency, and successful cross-functional teamwork.

What is a Python Tester job?

A Python Tester is responsible for testing software applications written in Python to ensure they function correctly, efficiently, and securely. They write and execute test cases, identify bugs, and collaborate with developers to fix issues. Python Testers commonly use testing frameworks like PyTest, UnitTest, or Nose, along with automation tools like Selenium for web applications. Their role is crucial in maintaining software quality and reliability.

What are popular job titles related to Python Tester jobs in Austin, TX? For Python Tester jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Python Tester jobs in Austin, TX look for? The top searched job categories for Python Tester jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Tester jobs? Cities near Austin, TX with the most Python Tester job openings:
Python Tester jobs near you
Infographic showing various Python Tester job openings in Austin, TX as of July 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $138,741 per year, or $66.7 per hour.

AI Arcitect (Gen AI / Agentic AI)

Futran Tech Solutions Pvt. Ltd.

Austin, TX • On-site

Full-time

Posted 18 days ago

Job description

Role: AI Architect (Gen AI / Agentic AI)
Location: Austin, TX
Role Summary
We are seeking an experienced AI Architect to design and lead end-to-end implementation of enterprise-grade Generative AI and Agentic AI solutions. The ideal candidate will have strong experience in LLMs, RAG pipelines, multi-agent systems, and scalable backend engineering, with proven capability in architecting production-ready AI platforms.
Experience Required
  • 10+ years of overall software development experience
  • 3+ years in architecture / solution design roles
  • Proven experience delivering enterprise-scale AI/GenAI solutions

Key Responsibilities:
Architecture & Design
  • Define and imlement end-to-end AI/GenAI architecture covering:
    • LLM integration
    • RAG pipelines
    • Multi-agent orchestration frameworks
  • Design scalable, secure, and cost-efficient AI platforms and services
  • Evaluate and select appropriate LLMs, frameworks, and toolchains

GenAI & LLM Solutions
  • Design and develop GenAI-powered applications using Python and modern frameworks
  • Implement:
    • Prompt engineering strategies
    • Token optimization and token economics
    • Response grounding and evaluation frameworks
  • Integrate enterprise data sources into RAG pipelines and knowledge systems

Agentic AI / Multi-Agent Systems
  • Lead design and implementation of agent-based solutions, including:
    • Agent design & orchestration
    • Agent development and lifecycle management
    • Agent hardening, testing, and evaluation
    • Governance and monitoring frameworks
  • Build multi-agent ecosystems with role-based and task-based agents

Platform & Integration
  • Develop and expose REST APIs and microservices for AI consumption
  • Implement:
    • Tool calling frameworks
    • Model Context Protocol (MCP) integrations
    • MCP server creation and management
  • Integrate with enterprise platforms, workflows, and external APIs

Engineering Excellence
  • Ensure best practices in:
    • Code quality, scalability, and performance
    • CI/CD for AI systems (LLMOps / MLOps)
    • Security, governance, and compliance
  • Collaborate with cross-functional teams (Data, Engineering, Product)

Mandatory Skills:
Programming & Core Engineering
  • Strong expertise in Python
  • Experience building REST APIs and scalable backend systems

Generative AI & LLMs
  • Hands-on experience with:
    • LLM integration (OpenAI, Azure OpenAI, etc.)
    • Prompt engineering and optimisation
    • GenAI-powered application development

RAG & Knowledge Systems
  • Expertise in:
    • RAG pipeline design & implementation
    • Vector databases and semantic search
    • Data chunking, indexing, and retrieval strategies

Agentic AI
  • Deep experience in:
    • Multi-agent systems architecture
    • Agent orchestration frameworks (e.g., LangGraph, CrewAI, similar)
    • Agent lifecycle: design → build → evaluate → govern

Advanced AI Concepts
  • Tool calling and tool orchestration
  • Token usage optimisation and cost strategies
  • Evaluation frameworks for GenAI outputs

MCP & Advanced Integrations
  • Experience with:
    • MCP integration
    • MCP server setup and management
    • Context-aware AI system design

Good to Have
  • Experience with LLMOps / MLOps practices
  • Exposure to cloud AI platforms (Azure, AWS Bedrock, GCP Vertex AI)
  • Knowledge of Graph RAG / hybrid retrieval systems
  • Familiarity with enterprise security, governance, and compliance frameworks

Apply