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Contract Stack Tester Jobs in Schenectady, NY (NOW HIRING)

Contract Stack Tester information

See Schenectady, NY salary details

$10

$37

$60

How much do contract stack tester jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for contract stack tester in Schenectady, NY is $37.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $49.09 per hour, depending on experience, location, and employer.

What is the difference between Contract Stack Tester vs Pipeline Tester?

AspectContract Stack TesterPipeline Tester
CertificationsOSHA, safety and industry-specific certificationsOSHA, safety, and pipeline-specific certifications
Work EnvironmentConstruction sites, industrial facilitiesOil & gas pipelines, industrial plants
Industry UsageConstruction, energy, manufacturingOil & gas, energy, infrastructure
Job FocusTesting and inspecting structural componentsTesting pipeline integrity and safety

Contract Stack Testers and Pipeline Testers share similar certifications and work environments but focus on different infrastructure types. Contract Stack Testers primarily work on structural components in construction and industrial sites, while Pipeline Testers specialize in pipeline systems in energy sectors. Both roles require safety certifications and are vital in their respective industries.

What cities near Schenectady, NY are hiring for Contract Stack Tester jobs? Cities near Schenectady, NY with the most Contract Stack Tester job openings:

Advanced Cloud Based Programmer (GCP focus)- Hybrid - Long Term Contract

Experienced Recruiting Partners

Albany, NY • On-site, Remote

Full-time

Posted 29 days ago


Job description

Contract Role

Length: Currently 12 months (potential for ongoing renewals)

Location: Hybrid - Remote + 50% Onsite in Albany, NY

Client is seeking two experienced Advanced Cloud & Generative AI Developers to join a team supporting and enhancing conversational AI solutions.

  • These positions are expected to be one-year engagements with the potential for ongoing renewals.
  • Team members will work across multiple initiatives, supporting existing chatbot and virtual agent applications while also developing new AI-driven solutions.

The ideal candidate will have strong expertise in Google Cloud Platform (GCP), conversational AI development, generative AI technologies, and full-stack application development using Python and JavaScript.

Responsibilities:

  • Design, develop, enhance, and maintain chatbot and virtual agent solutions built on Google Cloud Platform.
  • Build and support conversational AI applications using Google Dialogflow and related technologies.
  • Develop and implement Generative AI agents and solutions leveraging modern AI frameworks and services.
  • Design and implement Retrieval-Augmented Generation (RAG) architectures and prompt engineering strategies.
  • Develop and maintain backend services and APIs using Python and JavaScript.
  • Support existing applications, troubleshoot issues, and implement enhancements.
  • Collaborate with business stakeholders and technical teams to gather requirements and deliver solutions.
  • Maintain high-quality, readable, and well-documented code.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.
  • Contribute to infrastructure automation and CI/CD processes using Terraform and Git-based repositories.

Requirements:

  • Bachelor's degree.
  • 5+ years related experience.
  • 2+ years of hands-on experience with Google Cloud Platform (GCP).
  • 2+ years of experience developing chatbots or conversational AI solutions using Google Dialogflow or similar technologies.
  • Experience building Generative AI applications and AI agents.
  • Strong understanding of Retrieval-Augmented Generation (RAG) concepts and implementations.
  • Experience with prompt engineering and prompt optimization techniques.
  • Proficiency in Python application development.
  • Proficiency in JavaScript development for both frontend and backend applications.
  • Experience using source control systems such as Git, GitHub, or GitLab.
  • Experience developing and maintaining infrastructure-as-code solutions using Terraform.
  • Ability to write and maintain clean, scalable, and maintainable code.
  • Strong verbal and written communication skills.
  • Experience working directly with business stakeholders and customers.

    Preferred Qualifications:

  • Google Cloud certifications.
  • Experience with Dialogflow CX, Conversational Agents, and Playbooks.
  • Experience working with various Generative AI platforms and services.
  • Machine Learning or AI model development experience.
  • Experience with Looker reporting and LookML.
  • Experience designing and deploying cloud-native applications.
  • Familiarity with Agile development methodologies and DevOps practices.

    Technical Skills:

  • Cloud Platforms: Google Cloud Platform (GCP)
  • Conversational AI: Dialogflow, Conversational Agents
  • Generative AI: AI Agents, RAG, Prompt Engineering
  • Programming Languages: Python, JavaScript
  • Infrastructure as Code: Terraform
  • Version Control: Git, GitHub, GitLab
  • Analytics & Reporting: Looker, LookML
  • Development Practices: CI/CD, Code Reviews, Testing, Documentation

    Soft Skills:

  • Excellent communication and collaboration skills.
  • Strong problem-solving and analytical abilities.
  • Ability to work independently and as part of a cross-functional team.
  • Customer-focused mindset with experience engaging directly with stakeholders.
  • Ability to adapt quickly to new technologies and evolving project requirements.