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Python Qa Automation Remote Jobs in Houston, TX (NOW HIRING)

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Write efficient Python code on structured time series datasets that scales easily across cloud ... Reviews code to raise quality and share context, not just approve. While this is a fully remote ...

Remote Job Overview We are seeking experienced Hospitalist Physicians to contribute their medical ... Support quality assurance processes by identifying potential issues and inconsistencies.

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in ...

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Use Python for CAD automation and programmatic modeling. * Export and validate STEP and other solid ...

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Python Qa Automation Remote information

See Houston, TX salary details

$12

$55

$82

How much do python qa automation remote jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python qa automation remote in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python QA automation engineer (remote)?

A Python QA Automation Engineer (Remote) is a software professional who designs, develops, and executes automated tests to ensure the quality of software applications, using Python as the primary programming language. Working remotely, they collaborate with development and QA teams to create test scripts, identify bugs, and improve testing processes. Their work helps reduce manual testing efforts, increase test coverage, and ensure reliable software releases. Python QA Automation Engineers often use frameworks like Selenium, Pytest, or Robot Framework and require strong problem-solving skills and attention to detail.

What are the key skills and qualifications needed to thrive as a Python QA automation engineer (remote), and why are they important?

To thrive as a Python QA Automation Engineer, you need proficiency in Python programming, understanding of software testing principles, and experience with automated testing frameworks, often supported by a degree in computer science or related field. Familiarity with tools such as Selenium, PyTest, CI/CD systems like Jenkins, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for remote collaboration and problem-solving. These skills ensure the development of robust automated tests, efficient bug identification, and smooth teamwork in distributed environments.

What are some common challenges faced by remote Python QA automation engineers, and how can they be addressed?

Remote Python QA Automation engineers often navigate challenges such as collaborating effectively across different time zones, maintaining clear communication with development teams, and ensuring consistent test environment configurations. To address these, it's important to use robust collaboration tools (like Slack or Jira), set clear expectations for asynchronous communication, and leverage version control and containerization for consistent testing. Regular virtual meetings and thorough documentation also help foster strong teamwork and minimize misunderstandings.

What is the difference between Python Qa Automation Remote vs Python Test Automation Engineer?

AspectPython Qa Automation RemotePython Test Automation Engineer
CredentialsPython, QA, automation toolsPython, testing frameworks, automation tools
Work EnvironmentRemote, collaborative teamsRemote or on-site, tech companies
Industry UsageSoftware testing, QA departmentsSoftware development, QA teams
Search IntentQA automation jobs, remote testing rolesTest automation careers, Python testing jobs

Both roles focus on Python-based automation testing, often working remotely within software or tech companies. The main difference lies in the job titles: Python Qa Automation Remote emphasizes QA-specific tasks, while Python Test Automation Engineer may encompass broader testing responsibilities. Candidates should review job descriptions to determine the best fit based on skills and career goals.

What are popular job titles related to Python Qa Automation Remote jobs in Houston, TX?

For Python Qa Automation Remote jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Python Qa Automation Remote jobs in Houston, TX look for?

The top searched job categories for Python Qa Automation Remote jobs in Houston, TX are:

What cities near Houston, TX are hiring for Python Qa Automation Remote jobs?

Cities near Houston, TX with the most Python Qa Automation Remote job openings:

Infographic showing various Python Qa Automation Remote job openings in Houston, TX as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Senior Software Engineer, Python

Houston, TX • On-site, Remote

ComboCurve, Inc.
Oil and Gas Extraction • 11 - 50 employees

$116K - $156K/yr

Full-time

Re-posted 13 days ago


Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  • Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  • Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  • Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  • Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  • Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  • Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  • Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  • Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  • Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  • API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  • Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  • Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  • Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  • Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  • SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  • MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  • Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  • Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  • Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  • Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  • Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  • AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  • Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  • Takes ownership end-to-end, from scoping to shipping to iterating.
  • Can translate ambiguous product requirements into concrete technical proposals.
  • Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  • Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.