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Python Qa Automation Remote Jobs in Rochester, NY

Oversee the full software development lifecycle (SDLC), quality assurance processes, and release ... AI/ML frameworks and tooling or Python-based AI stacks. * Retrieval-augmented generation (RAG ...

Content Marketing: * Develop and distribute high-quality content that educates, informs, and ... Marketing Automation: * Implement marketing automation tools and workflows to streamline and ...

Content Marketing: * Develop and distribute high-quality content that educates, informs, and ... Marketing Automation: * Implement marketing automation tools and workflows to streamline and ...

Intern C, Image Science Engineer

Rochester, NY ยท On-site +1

$22.50 - $41/hr

Provides image scienceexpertiseto conduct image/product quality analysis associated with collection ... Experience with ENVI/IDL programming, MATLAB, Python, UNIX based scripting, and/or C++ programming.

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Python Qa Automation Remote information

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

As of Sep 7, 2026, the average hourly pay for python qa automation remote in Rochester, NY is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 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 Rochester, NY?

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

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

The top searched job categories for Python Qa Automation Remote jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Python Qa Automation Remote jobs?

Cities near Rochester, NY with the most Python Qa Automation Remote job openings:

Infographic showing various Python Qa Automation Remote job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,307 per year, or $57.8 per hour.

Chief Technology Officer

Volaris Group

Rochester, NY โ€ข On-site, Remote

Full-time

Posted 20 days ago


Key responsibilities

  • Define and communicate the multi-year technology roadmap aligned to business transformation and growth objectives.

  • Own the enterprise AI architecture strategy and drive the development and governance of core data models to support AI and analytics workloads.

  • Provide executive oversight of platform engineering, ensuring the platform is scalable, reliable, and cost-efficient, and oversee the full software development lifecycle.


Job description

Job Summary:

The Chief Technical Officer (CTO) is a C-suite executive and a member of the senior leadership team, accountable for defining and executing CaterTrax's enterprise technology vision in direct support of the company's AI business transformation strategy. As the company's most senior technologist, the CTO holds full executive ownership of the technology function and its contribution to enterprise growth, value creation, and constituent indispensability.
Reporting directly to the CEO and partnering with the Board and executive leadership team, the CTO serves as the company's ultimate technology authority, with end-to-end ownership of the entire technology organization - spanning enterprise and AI architecture, data engineering, platform and software engineering, and information security.
The CTO is a strategic leader who bridges business objectives with technical execution - setting technical direction, championing modern engineering practices, accelerating AI integration across product and operations, and ensuring the security and scalability of the current and future-state CaterTrax platform. The CTO leads primarily through the technology organization's directors and managers, retaining the technical depth to guide architecture and hold the quality line.
The role ensures that technology decisions compound platform excellence and support our constituent model before creating technical debt or fragmentation. This includes all internal and external users and systems.
The company is hybrid but qualified remote applicants are encouraged to apply.

Job Description:

ESSENTIAL DUTIES AND RESPONSIBILITIES

TECHNOLOGY LEADERSHIP & STRATEGY

  • Define and communicate the multi-year technology roadmap aligned to business transformation and growth objectives.
  • Partner with the CEO and executive leadership team to translate business strategy into actionable technology initiatives and investment priorities.
  • Serve as a member of the executive leadership team and report regularly to the Portfolio on technology strategy, roadmap progress, risk posture, and investment priorities.
  • Serve as the organization's primary technology spokesperson with the customers, partners, and portfolio (as needed).
  • Build and sustain a high-performing, collaborative culture grounded in accountability, innovation, and continuous learning.
  • Lead organizational planning including headcount, team structure, skills development, and succession across all technical disciplines.

AI ARCHITECTURE & DATA STRATEGY

  • Own the enterprise AI architecture strategy, including the selection of AI/ML frameworks, platforms, and tooling to enable scalable, production-grade AI features.
  • Drive the development and governance of core data model, ensuring data integrity, accessibility, and readiness to support AI and analytics workloads.
  • Champion the integration of AI capabilities - including generative AI, predictive analytics, and automation - into the product suite and internal operations.
  • Establish AI governance policies covering model explainability, bias detection, data privacy, and responsible use in alignment with applicable regulations.
  • Collaborate with Product and Customer Success to identify and prioritize high-impact AI use cases across the client lifecycle.

PLATFORM & SOFTWARE ENGINEERING

  • Provide executive oversight of platform engineering and infrastructure, ensuring the platform is scalable, reliable, observable, and cost-efficient.
  • Guide software engineering teams in architectural decision-making, engineering standards, and the adoption of DevOps/DevSecOps practices and CI/CD pipelines.
  • Oversee the full software development lifecycle (SDLC), quality assurance processes, and release management practices.
  • Drive platform modernization efforts, including cloud strategy, API design, microservices evolution, and technical debt reduction.
  • Champion engineering velocity and quality through the adoption of relevant tooling, metrics and Agile/Lean practices.

INFORMATION SECURITY

  • Maintain executive accountability for information security posture, policies, and compliance obligations (SOC 2, PCI-DSS, GDPR, or applicable standards).
  • Oversee security architecture, vulnerability management, incident response, and third-party risk management programs.
  • Ensure security is embedded throughout the SDLC and platform operations.
  • Partner with Legal and Compliance to proactively address evolving regulatory requirements and data protection obligations.

PEOPLE LEADERSHIP & TEAM DEVELOPMENT

  • Directly lead the technology leadership team, including the platform and engineering directors, providing coaching, succession planning, and performance management.
  • Drive employee engagement, career pathing, and recognition practices across the technology organization.
  • Establish clear goals, OKRs, and accountability frameworks for all technical teams.

QUALIFICATIONS AND EXPERIENCE

EDUCATION

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline required.

Master's degree (MBA, MS Computer Science, or equivalent) preferred.

EXPERIENCE

Required:

  • 15+ years of progressive technology leadership experience, including at least 5 years in a C-level or equivalent most-senior-technologist role (CTO, CIO, or SVP/EVP of Engineering) with full ownership of a multi-functional technology organization.
  • Demonstrated experience leading teams of engineers and technical professionals in a B2B SaaS or technology product environment.
  • Proven track record of building and scaling cloud-native platforms (AWS, Azure, or GCP) in production environments.
  • Hands-on experience designing or overseeing AI/ML implementations, including LLM integration, predictive modeling, or data pipeline architecture.
  • Deep expertise in modern software engineering practices: microservices, APIs, CI/CD, containerization (Docker/Kubernetes), and Agile delivery methodologies.
  • Experience owning data architecture and data governance in a product or enterprise context.
  • Demonstrated ability to lead information security programs and maintain compliance with relevant industry frameworks (SOC 2, PCI-DSS, etc.).

Preferred:

  • Experience in foodservice technology, hospitality tech, or enterprise SaaS platforms serving multi-site operators.
  • Familiarity with AI governance frameworks and responsible AI deployment at scale.
  • Experience serving as the most senior technologist through a comparable AI or platform transformation at a company of similar size and scope.
  • Track record of successful technology M&A integration or platform consolidation.

SKILLS AND COMPETENCY REQUIREMENTS

  • Strategic thinking: Translates ambiguous business challenges into clear, executable technology strategy.
  • Executive presence: Communicates complex technical concepts to non-technical audiences including Board, customers, and investors.
  • Talent development: Builds, motivates, and retains high-performing, diverse engineering teams.
  • Bias for action: Moves decisively with incomplete information; comfortable operating in a dynamic, growth-stage environment.
  • Collaborative influence: Builds alignment and momentum across Engineering, Product, Sales, and Customer Success.
  • Financial acumen: Manages technology budgets, vendor contracts, and build-vs-buy decisions with sound business judgment.

TECHNOLOGY SKILLS

The CTO is expected to maintain working fluency across the following technology domains - sufficient to set technical direction, evaluate vendors, guide architects, and make informed build-vs-buy decisions. Deep proficiency is expected in at least one discipline per category.

AI & MACHINE LEARNING PLATFORMS

  • Large language model (LLM) platforms: OpenAI / Azure OpenAI, Anthropic Claude, AWS Bedrock, or equivalent.
  • AI/ML frameworks and tooling or Python-based AI stacks.
  • Retrieval-augmented generation (RAG) architecture design and vector database platforms.
  • AI ops tooling for model monitoring, versioning, drift detection, and deployment pipelines.

CLOUD & INFRASTRUCTURE

  • Cloud platforms: deep proficiency in Microsoft Azure, with architectural fluency across all AWS and Google.
  • Containerization and orchestration: Docker and Kubernetes (EKS, AKS, or GKE).
  • Serverless and event-driven architecture patterns

DATA & ANALYTICS

  • Cloud data warehouse and lakehouse platforms.
  • Data pipeline and transformation tooling.
  • Power BI
  • SQL, Relational and Vector databases.

SOFTWARE ENGINEERING & DEVOPS

  • Source control and collaboration: Git, GitHub, or GitLab - including branching strategies, PR workflows, and code review practices.
  • CI/CD pipeline platforms: GitHub, Azure DevOps
  • API design and management
  • Agile and project management tooling: Jira, Confluence (Atlassian suite experience preferred).

INFORMATION SECURITY TOOLS

  • Security information and event management.
  • Identity and access management (IAM): Okta, Azure Active Directory, SSO/SAML/OAuth 2.0 protocols.
  • Vulnerability scanning and dependency management.
  • Compliance automation platforms (SOC 2, PCI-DSS).

PRODUCTIVITY & COLLABORATION

  • Microsoft 365 suite: Teams, SharePoint, Excel, and PowerPoint at a power-user level for executive reporting and communication.
  • Design collaboration: Figma or equivalent for cross-functional work with Product and UX teams.
  • AI productivity tools: Microsoft Copilot, Anthropic Claude, or similar for personal and team enablement.

PHYSICAL DEMANDS

While performing the duties of this job, the employee is regularly required to sit; use hands to operate a computer, copier, fax or other office equipment. The employee must occasionally lift and/or move up to 15 pounds.

WORK ENVIRONMENT

Assumes a hybrid work environment, however, qualified remote candidates are encouraged to apply.

While performing the duties of this job, the noise level in the work environment is usually quiet to moderate.

COMPENSATION

Salary range - $190,000 to $225,000.00 - DOE

TRAVEL

Up to 10%, Domestic and International (as required)

Worker Type:

Regular

Number of Openings Available: ย  ย 

1