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Remote Testing Validation Jobs in Rhode Island (NOW HIRING)

Experience supporting payroll systems configuration, testing, validation, and issue resolution ... Remote: onsite 0-1 days per week. Permitted to reside in the following states, pending approval ...

Senior Field Service Technician

RI · Remote

$83K - $133K/yr

Remote. Our Team Dynamics Our teams support each other, collaborate, and never stop learning ... Technical skills in testing of power distribution and delivery to include Low Voltage and Medium ...

Dillon Product Manager

Pawtucket, RI · Remote

$80K - $121K/yr

Perform product testing, gathering of relevant experimental data, and data analysis in support of ... Must have valid passport for international travel or ability to obtain one Preferred Qualifications ...

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Remote Testing Validation information

What is the difference between Remote Testing Validation vs Remote Quality Assurance Tester?

AspectRemote Testing ValidationRemote Quality Assurance Tester
Primary FocusVerifying that software meets specified requirements and functions correctlyEnsuring overall quality, including testing, process improvement, and defect prevention
Required SkillsTesting methodologies, validation protocols, technical knowledgeTesting, documentation, process analysis, communication skills
Work EnvironmentTypically in software development or validation labs, often remoteIn software development teams, often remote or hybrid
CertificationsISTQB, CSQA, or similar testing certificationsISTQB, CSTE, or quality assurance certifications

Remote Testing Validation primarily focuses on verifying that software functions correctly according to specifications, often requiring technical testing skills and validation protocols. Remote Quality Assurance Tester has a broader role, encompassing testing and overall quality process improvements. Both roles share certifications and work environments but differ in scope and specific responsibilities.

What is remote testing validation?

Remote testing validation is the process of evaluating and verifying the quality, functionality, and reliability of software or hardware products from a location outside the traditional office or laboratory setting. This approach allows testers to conduct tests over the internet using specialized tools and collaboration platforms, enabling flexibility and access to a wider talent pool. Remote testing validation is commonly used in software development, quality assurance, and user experience studies, especially when distributed teams or remote users are involved. It helps organizations maintain testing efficiency and product quality, even when team members are geographically dispersed.

What are some common challenges faced by professionals in Remote Testing Validation, and how can they be addressed?

One common challenge in Remote Testing Validation is ensuring clear communication and collaboration with distributed teams, especially when troubleshooting issues across different time zones. Testers may also encounter difficulties in maintaining a consistent testing environment, as remote setups can vary in hardware and network configurations. To address these challenges, it's essential to establish thorough documentation, leverage reliable remote collaboration tools, and schedule regular check-ins with team members. Adopting standardized testing environments through cloud-based solutions or virtual machines can also help ensure consistency and reliability in test results.

What are the key skills and qualifications needed to thrive as a Remote Testing Validation Specialist, and why are they important?

To excel as a Remote Testing Validation Specialist, you need expertise in software testing methodologies, quality assurance processes, and a solid understanding of the relevant domain, often supported by a degree in computer science or a related field. Familiarity with automated testing tools (such as Selenium or JMeter), bug tracking systems, and relevant certifications like ISTQB are commonly required. Strong attention to detail, analytical thinking, and effective remote communication skills set outstanding candidates apart. These abilities ensure accurate test validation, efficient problem resolution, and seamless collaboration across distributed teams for high-quality software delivery.
What are popular job titles related to Remote Testing Validation jobs in Rhode Island? For Remote Testing Validation jobs in Rhode Island, the most frequently searched job titles are:
What cities in Rhode Island are hiring for Remote Testing Validation jobs? Cities in Rhode Island with the most Remote Testing Validation job openings:

Senior Data / Azure Engineer (Remote Contract)

Lighthouse MTG LLC

Lincoln, RI • Remote

$111K - $147K/yr

Other

Posted 2 days ago


Job description

Description

Position Overview

We are seeking an experienced Senior Data / Azure Engineer to support a large-scale cloud modernization initiative. This role will focus on transforming a legacy, on-premises data processing environment into a scalable, cloud-native Azure platform.

The ideal candidate will have deep expertise in Azure serverless technologies, distributed processing, data engineering, and SQL Server optimization. This individual will play a key role in designing and implementing modern data ingestion, processing, monitoring, and validation frameworks while ensuring reliability, scalability, and maintainability. The role may also provide technical leadership to offshore engineering resources and leverage modern AI-assisted development tools to improve engineering productivity and delivery quality.


Key ResponsibilitiesAzure Application & Data Engineering
  • Design, develop, and support Azure Durable Functions utilizing orchestrator and activity patterns.
  • Build and maintain solutions using .NET 8 (Isolated Worker) and distributed processing architectures.
  • Modernize existing automation processes by converting legacy PowerShell-based workloads into scalable, stateless Azure Functions.
  • Implement event-driven architectures leveraging Azure Event Hubs and related Azure services.
  • Develop high-performance data ingestion pipelines utilizing watermark-based change detection, parallel processing, and scalable ingestion patterns.
Data Platform Modernization
  • Support the migration of legacy data processing systems to Azure-based cloud infrastructure.
  • Contribute to the design and implementation of modern cloud-native data processing solutions.
  • Analyze and optimize existing workflows to improve scalability, reliability, and operational efficiency.
  • Collaborate with architects, engineers, and stakeholders to define future-state cloud data platform capabilities.
Data Quality, Validation & Monitoring
  • Design and implement data validation, reconciliation, and quality assurance frameworks.
  • Develop parallel-run validation strategies to ensure accuracy during modernization efforts.
  • Build comprehensive observability solutions including logging, monitoring, telemetry, and alerting.
  • Implement robust error handling, retry mechanisms, and operational support processes using Azure Application Insights and related monitoring tools.
Database Engineering
  • Design, optimize, and maintain SQL Server solutions including stored procedures, queries, and database performance tuning.
  • Troubleshoot complex database performance issues and implement scalable solutions.
  • Ensure data integrity, consistency, and reliability across integrated systems.
Cross-Functional Collaboration & Technical Leadership
  • Evaluate downstream dependencies including reports, integrations, data feeds, and business applications.
  • Partner with technical and business teams to ensure successful solution delivery.
  • Participate in architecture discussions, code reviews, and technical design sessions.
  • Document solutions, processes, and technical standards.
  • Provide technical leadership and mentorship to engineering resources, including offshore development teams when applicable.
  • Coordinate development activities across distributed teams and promote engineering best practices, code quality standards, and knowledge sharing.
  • Encourage the effective use of AI-assisted development tools such as GitHub Copilot (or similar) to accelerate code generation, documentation, testing, and engineering productivity.

Requirements

Required Qualifications
  • 7+ years of experience in software engineering, data engineering, or cloud engineering roles.
  • Strong experience developing Azure Durable Functions and Azure serverless solutions.
  • Expertise with .NET 8 and C# development.
  • Experience designing distributed processing and event-driven architectures.
  • Hands-on experience with Azure Event Hubs and Azure integration services.
  • Strong SQL Server development and performance tuning experience.
  • Experience building scalable data ingestion and transformation solutions.
  • Experience implementing monitoring, observability, and operational support frameworks.
  • Strong understanding of cloud architecture principles and modern software engineering practices.
  • Excellent communication, collaboration, and stakeholder management skills.
Preferred Qualifications
  • Experience leading cloud migration or modernization initiatives.
  • Experience leading and coordinating offshore engineering teams in a distributed development environment.
  • Experience with Azure Data Factory, Azure Storage, Azure Service Bus, or related Azure services.
  • Knowledge of enterprise data architecture and large-scale data platforms.
  • Experience with CI/CD pipelines, DevOps practices, and infrastructure automation.
  • Familiarity with data governance, data quality, and validation frameworks.
  • Hands-on experience using GitHub Copilot or similar AI-assisted development tools to improve development velocity, documentation quality, testing, and overall engineering efficiency.
Project Overview

This role will support a multi-phase modernization initiative focused on transforming a legacy data processing environment into a scalable, cloud-native platform. Initial efforts will focus on migrating processing workloads to Azure, followed by a broader transition to a modern cloud-based data platform