Secaucus Testing & Quality Assurance Job Listings

Workable

Senior QA Analyst

Staff4Me is currently seeking a highly experienced and proactive Senior QA Analyst to join our team. As a Senior QA Analyst, you will be responsible for ensuring the quality of our software products through rigorous testing and careful analysis. You will work closely with the development team to identify, document, and track defects, as well as contribute to the overall improvement of our QA processes. Responsibilities Design, develop, and execute comprehensive test plans and test cases. Perform functional, regression, and performance testing to identify and report software defects. Conduct thorough root cause analysis of defects and collaborate with the development team to ensure timely resolution. Create detailed test documentation, including test scripts, test data, and test reports. Perform risk analysis and prioritize testing efforts based on the impact and probability of defects. Participate in design and code reviews to provide constructive feedback. Collaborate with cross-functional teams to ensure quality standards are met throughout the software development lifecycle. Stay updated with the latest testing methodologies and industry best practices. Mentor and provide guidance to junior QA team members. Requirements 5+ years of experience as a QA Analyst, with a focus on software testing. Strong knowledge of software QA methodologies, tools, and processes. Experience in designing and executing test plans, test cases, and test scripts. Proficiency in using test management and defect tracking tools. Solid understanding of test automation frameworks and scripting languages. Excellent analytical and problem-solving skills. Ability to effectively communicate and collaborate with cross-functional teams. Experience in Agile or Scrum development methodologies. Relevant certifications such as ISTQB or CSTE are a plus. Bachelor's degree in Computer Science, Engineering, or a related field.

New York, NY, USA

Negotiable Salary

Prompt Engineer Data Science & Quality Analysis63393518912769121

Workable

Prompt Engineer Data Science & Quality Analysis

As a Prompt Engineer focused on Data Science and Quality Analysis, you’ll design, test, and evaluate prompts for AI systems that interact with real-world restaurant data. You’ll work cross-functionally to develop AI solutions that drive operational efficiency, improve data interpretation, and support smarter decision-making for restaurant operators. Your work will directly shape how AI models perform in high-stakes, dynamic environments like order processing, reporting, support automation, and performance analysis. Essential Job Functions: Prompt Design & Evaluation: Develop, test, and refine prompts for tasks such as text generation, question answering, data classification, and structured data extraction to optimize Voice AI performance. Data-Driven Analysis & Quality Measurement: Design evaluation frameworks and analyze prompt outputs using quantitative metrics, human-in-the-loop evaluation, and user feedback to identify improvement opportunities. Experimentation & Iteration Conduct experiments to test prompt variations, measure their business and operational impact, and iterate to enhance accuracy, consistency, and safety. Regression Testing & Compliance Build principled regression test suites using tools like LangFuse and Galileo to ensure prompts remain compliant and high-performing as models and use cases evolve. Collaboration Across Teams: Work closely with data science, product, legal, engineering, and operations teams to align prompt designs with business goals, operational workflows, and compliance requirements. Model Adaptation & Strategy Development prompts across multiple LLMs (GPT, LLaMA, Gemini, and Checkmate’s fine-tuned models), understanding model differences to optimize outputs effectively. Team Leadership & Mentorship Lead a team of analysts focused on prompt evaluation and data quality analysis, guiding prioritization, experimentation, and reporting. Collaborate with ops teams for seamless deployment and feedback loops. Research & Continuous Learning Stay up to date on emerging prompting techniques, LLM behaviors, evaluation frameworks, and AI safety practices to keep Checkmate’s AI solutions best-in-class. Requirements Strong analytical and data science skills, with hands-on experience in Python (pandas, NumPy, scikit-learn) Experience designing and conducting experiments and evaluations in applied AI or NLP contexts Proficiency in SQL and working with relational databases (e.g. MySQL, PostgreSQL, Oracle, MS SQL) Good understanding of data processing, quality measurement, and testing fundamentals Experience leading analyst or operations teams, with strong prioritization, mentorship, and collaboration skills Strong problem-solving mindset with a drive to explore, optimize, and automate workflows Excellent communication skills for presenting insights to technical and non-technical stakeholders Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field Flexible to work US hours until at least 6 pm ET, with a strong remote setup Preferred Qualifications Experience with LLM evaluation and prompt engineering workflows Familiarity with tools like LangFuse and Galileo for prompt evaluation and analysis Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools Familiarity with machine learning concepts and NLP workflows Master’s or PhD in Data Science, Statistics, Computer Science, or a related field Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

New York, NY, USA

Negotiable Salary

Workable

QA Automation Engineer

Job Description: A Senior QA Automation Engineer with 7+ years of experience in API/microservices automation testing using BDD/Cucumber framework & knowledgeable on AWS cloud. Responsibilities: Writing/updating automation and manual test cases based on requirements Design, develop, and execute automated test scripts Maintain and enhance existing test scripts and frameworks Identify, document, and track/manage defects during testing. Must-Have Skills: Knowledge of testing methodologies and concepts API testing knowledge Strong experience in Java as well as hands-on experience with automated testing tools like Cucumber, JMeter, TestNG etc. Proficiency in automation frameworks, Jira, Git, Bitbucket, and Jenkins Strong analytical and problem-solving skill, good communication and teamwork skills. Good-to-Have Skills: Exposure to the insurance domain Worked in a setup interfacing customer AWS, Spring Boot

Jersey City, NJ, USA

Negotiable Salary