Quality Engineer

Infotek Consulting Inc.; Boston (MA); A distancia; USD 110.000 - 138.000; Jornada completa

Descripción de la vacante

Infotek Consulting Inc. is seeking an experienced Quality Engineer to ensure the quality, reliability, and performance of technology solutions throughout the software development lifecycle.

The successful candidate will work closely with engineering, product, and business teams to integrate quality into delivery processes, strengthen test automation, and support reliable software releases. This role requires strong experience in quality engineering, integration testing, and preferably the

Formación

• Proven experience in Quality Engineering, Software Testing, Test Automation, or Software Development.
• Hands-on experience with test automation frameworks, tools, and test execution.
• Strong understanding of functional, integration, regression, and end-to-end testing.
• Experience with API testing, SQL, databases, and data validation.
• Working knowledge of web applications, software development lifecycles, and CI/CD practices.
• Experience with Agile methodologies and DevOps practices.
• Strong analytical, troubleshooting, problem-solving, and communication skills.
• Ability to balance quality, delivery timelines, technical risks, and business requirements.

Responsabilidades

• Develop and execute comprehensive test strategies covering functional, integration, regression, and end-to-end testing.
• Build, maintain, and execute automated testing solutions integrated into CI/CD pipelines.
• Perform end-to-end and integration testing across multiple applications, platforms, and downstream systems.
• Validate insurance and annuity policy lifecycles, business transactions, and application workflows.
• Conduct API testing, SQL queries, and data validation to ensure system accuracy and integrity.
• Collaborate with developers, product owners, and business stakeholders to identify quality risks early and promote shift-left testing practices.
• Perform defect analysis, triage, root-cause investigation, and regression testing.
• Validate solution reliability, performance, security, and overall user experience.
• Establish reusable testing standards, frameworks, processes, and quality metrics.
• Identify opportunities to improve testing efficiency through automation and modern engineering practices, including AI-enabled testing.

Conocimientos

Quality Engineering

Software Testing

Test Automation

Agile methodologies

DevOps practices

Analytical thinking

Communication skills

Herramientas

Verisk FAST

Hexure FireLight

CI/CD tooling

AI-enabled testing tools

Descripción del empleo

Location: Boston, MA (Remote candidates will also be considered depending on skillset)

Rate: Up to $80-$100/hour on W2 (no insurance)

Role Overview

We are seeking an experienced Quality Engineer to ensure the quality, reliability, and performance of technology solutions throughout the software development lifecycle.

The successful candidate will work closely with engineering, product, and business teams to integrate quality into delivery processes, strengthen test automation, and support reliable software releases. This role requires strong experience in quality engineering, integration testing, and preferably the insurance and annuities industry.

Candidates with experience in annuity products, policy administration platforms, and end-to-end insurance application testing will be highly preferred.

Key Responsibilities

• Develop and execute comprehensive test strategies covering functional, integration, regression, and end-to-end testing.
• Build, maintain, and execute automated testing solutions integrated into CI/CD pipelines.
• Perform end-to-end and integration testing across multiple applications, platforms, and downstream systems.
• Validate insurance and annuity policy lifecycles, business transactions, and application workflows.
• Conduct API testing, SQL queries, and data validation to ensure system accuracy and integrity.
• Collaborate with developers, product owners, and business stakeholders to identify quality risks early and promote shift-left testing practices.
• Perform defect analysis, triage, root-cause investigation, and regression testing.
• Validate solution reliability, performance, security, and overall user experience.
• Establish reusable testing standards, frameworks, processes, and quality metrics.
• Identify opportunities to improve testing efficiency through automation and modern engineering practices, including AI-enabled testing.

Mandatory Qualifications

• Proven experience in Quality Engineering, Software Testing, Test Automation, or Software Development.
• Hands-on experience with test automation frameworks, tools, and test execution.
• Strong understanding of functional, integration, regression, and end-to-end testing.
• Experience with API testing, SQL, databases, and data validation.
• Working knowledge of web applications, software development lifecycles, and CI/CD practices.
• Experience with Agile methodologies and DevOps practices.
• Strong analytical, troubleshooting, problem-solving, and communication skills.
• Ability to balance quality, delivery timelines, technical risks, and business requirements.

Preferred Qualifications and Industry Experience

• Experience in the insurance and annuities industry, particularly fixed indexed annuities (FIA) and Indexed Universal Life (IUL) products.
• Experience with Verisk FAST platform, including policy lifecycle and transaction testing.
• Experience with Hexure FireLight, particularly new business and insurance application workflows.
• Knowledge of annuity products, insurance business processes, and policy administration systems.
• Experience conducting end-to-end and integration testing across Hexure FireLight, Verisk FAST, and downstream applications.
• Experience with defect triage, regression testing, and complex system integration.
• Exposure to AI-enabled testing solutions and modern test automation practices.

Additional Information

• Candidates based in Boston, MA are preferred.
• Remote candidates will also be considered.
• Candidates with a combination of technical Quality Engineering expertise and annuity/insurance domain knowledge will be strongly preferred.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job postings.

Note: Background checks needing to be completed for successfully hired candidates.