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Remote Gcp Qa Jobs in Rochester, NY (NOW HIRING)

The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ... Oversee the full software development lifecycle (SDLC), quality assurance processes, and release ...

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You will lead on clinical trial monitoring tasks requiring technical depth, with a focus on quality ... Life assurance and disability coverage * Employee assistance programmes and wellbeing resources

You will lead on clinical trial monitoring tasks requiring technical depth, with a focus on quality ... Life assurance and disability coverage * Employee assistance programmes and wellbeing resources

You will lead on clinical trial monitoring tasks requiring technical depth, with a focus on quality ... Life assurance and disability coverage * Employee assistance programmes and wellbeing resources

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Remote Gcp Qa information

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How much do remote gcp qa jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote gcp qa in Rochester, NY is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $34.38 per hour, depending on experience, location, and employer.

What is the difference between Remote Gcp Qa vs Remote Cloud Data Engineer?

AspectRemote Gcp QaRemote Cloud Data Engineer
CertificationsGCP Professional Cloud Architect, GCP Professional Data EngineerGCP Professional Data Engineer, Big Data certifications
Work EnvironmentRemote, collaborative with development and testing teamsRemote, data pipeline and infrastructure focus
Industry UsageSoftware testing, quality assurance in cloud appsData processing, analytics, cloud infrastructure

Remote Gcp Qa specialists focus on testing and quality assurance of cloud-based applications on GCP, ensuring functionality and performance. Remote Cloud Data Engineers build and maintain data pipelines and infrastructure on GCP. While both roles require GCP certifications and often work remotely, Gcp Qas concentrate on testing, whereas Data Engineers focus on data architecture and processing.

What are the key skills and qualifications needed to thrive as a Remote GCP QA, and why are they important?

To thrive as a Remote GCP QA, you need a strong background in software testing, cloud computing concepts, and quality assurance methodologies, often backed by a degree in computer science or a related field. Proficiency with Google Cloud Platform (GCP) tools, automated testing frameworks like Selenium or JUnit, and certifications such as Google Associate Cloud Engineer are typically required. Excellent problem-solving, attention to detail, and effective remote communication skills set outstanding candidates apart. These competencies are crucial for ensuring high-quality, secure, and reliable cloud-based applications while collaborating efficiently in distributed teams.

How does a Remote GCP QA collaborate with development and operations teams despite working remotely?

As a Remote GCP QA, collaboration with development and operations teams is primarily facilitated through cloud-based tools, regular video meetings, and shared documentation platforms. You’ll often participate in daily stand-ups, sprint planning sessions, and bug triage meetings to ensure smooth communication across time zones. Effective remote QAs proactively communicate test results, clarify requirements, and provide feedback to developers, while also coordinating with DevOps to integrate automated tests within CI/CD pipelines. Building strong relationships and maintaining transparency are key to overcoming the challenges of remote work in this role.

What is a Remote GCP QA?

A Remote GCP QA (Google Cloud Platform Quality Assurance) professional is responsible for testing and ensuring the quality of applications and services deployed on Google Cloud, while working remotely. Their tasks include creating and executing test plans, identifying bugs, and verifying that cloud-based systems meet required performance and security standards. They collaborate with developers, cloud engineers, and other stakeholders to deliver reliable, scalable solutions. Remote GCP QAs leverage their expertise in both software testing and cloud technologies to support development teams from any location.
What are the most commonly searched types of Gcp Qa jobs in Rochester, NY? The most popular types of Gcp Qa jobs in Rochester, NY are:
What are popular job titles related to Remote Gcp Qa jobs in Rochester, NY? For Remote Gcp Qa jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Remote Gcp Qa jobs? Cities near Rochester, NY with the most Remote Gcp Qa job openings:
Infographic showing various Remote Gcp Qa job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 3% Part Time, 8% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,486 per year, or $31.5 per hour.

Chief Technology Officer

CaterTrax

Rochester, NY • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Hungry, humble and smart? If you have these qualities, we want you on the team.

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:

1

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