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July 10, 2026

Senior QA Engineer

Senior • On-site

Boston, MA

The Senior QA Engineer is an integral member of an Engineering squad, analyzing and testing a high quality product suite. The Senior QA Engineer will be responsible for reviewing functional requirements and user stories from internal stakeholders, designing test plans, writing test cases, and executing test strategies for an enterprise wealth management platform. This is a hands-on role for someone who is curious, relentlessly thorough, and energized by solving complex problems in a high-stakes financial technology environment.

Responsibilities

  • Apply deep expertise in specific product areas to ensure that all features meet documented acceptance criteria and client quality expectations
  • Design and execute comprehensive test plans for complex features, including thorough web service and API-level testing
  • Identify gaps in test coverage and drive improvements proactively, collaborating with engineers and product owners to incorporate quality thinking early in the development cycle
  • Debug complex, multi-layered issues spanning the application, database, and integration layers
  • Provide feedback on product performance and user experience
  • Serve as a quality mentor and go-to resource for Engineers on your squad and across the organization
  • Contribute to the review of product documentation and release notes for new versions
  • Leverage AI tools such as Claude and Glean to accelerate test planning, documentation, and root cause analysis
  • Contribute to the growth and development of core values: We Before Me, Positive Energy, Knowledge Explorer, and Own It

Required Skills & Experience

  • 5-10+ years of Software Quality Assurance experience, ideally with a focus in financial technology or a related domain
  • Strong web service and API testing experience
  • Experience working with a team of Software QA Engineers in both manual and automated testing
  • Microsoft SQL Server or similar database experience
  • Experience working with tools such as Jira, Zephyr, Bitbucket, GitHub, Jenkins, and Docker
  • Demonstrated problem-solving ability with root cause analysis skills
  • Positive attitude with a strong desire to learn and grow professionally
  • Strong ownership mentality and initiative

Desired Skills

  • Experience using AI tools such as Claude Code for QA activities including test creation, impact analysis, test execution, bug analysis, and reporting
  • Experience testing with Postman or similar API testing tools
  • Integration testing experience including inbound file processing, outbound file creation, API testing, and configuration testing
  • Experience with BETA, APL, FIX, IDC, Reuters, Morningstar, or Bloomberg
  • Experience with log collection and analysis, APM, and DB monitoring tools; Dynatrace a plus
  • Ability to troubleshoot, diagnose, resolve, and explain system-level issues affecting the application
  • Working knowledge of a scripting language; Python a plus
  • Experience with performance testing; Locust.io a plus
  • Ability to work across squads and disciplines to find equitable solutions to problems that arise

Education

  • BS degree in Finance, Computer Science, or equivalent work experience
  • MSCS is a plus

Additional Information

  • Equal opportunity employer
  • Unable to sponsor employment visas for this role
  • Compensation includes equity-based grants, company-paid medical premiums, competitive time-off program, and variable compensation if eligible
  • Salary range: $107,000—$125,000 USD

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Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior QA Engineer to perform manual testing of web applications and validate AI-generated outputs as part of a product team building LLM-integrated features. You will design and execute test cases across UI, API, and AI behavior scenarios using TestRail, Postman, and JIRA, working within an Agile environment. The role requires a detail-oriented engineer who can evaluate model quality metrics and ensure accuracy, completeness, and alignment across prompt–response workflows. What you will do Perform manual testing of web applications to identify bugs, glitches, and inconsistencies; Develop, maintain, and execute detailed manual test cases based on product requirements and specifications; Perform thorough cross-browser UI testing to ensure consistent behavior across multiple browsers; Validate AI-generated test cases, summaries, and recommendations produced by integrated LLMs; Design and execute test scenarios to verify AI behavior, including prompt-response consistency and contextual relevance; Evaluate AI model quality using defined acceptance metrics such as precision, recall, hallucination rate, and duplication rate; Conduct manual API testing to validate request and response accuracy, error handling, and integration; Use TestRail to create, manage, and track test plans, test cases, and test execution results; Use Jenkins CI/CD pipelines; Report and document defects clearly using JIRA ; Participate in daily stand-ups, sprint planning, and other Agile team meetings; Review user stories and acceptance criteria to understand the scope of testing; Estimate own tasks and report risks to the team lead; Collaborate with developers and other QA team members to reproduce issues and verify fixes; Maintain and update test documentation as needed. Must haves 4+ years of experience with manual testing; Basic understanding of methodologies and SDLC and STLC models; Knowledge of testing and quality assurance processes; Strong experience with test design activities to cover a set of product requirements; Knowledge of test design techniques and testing methodologies; Defect analysis skills and the ability to write detailed and useful defect reports; Experience with Postman for API testing and browser developer tools; Experience with UI testing; Experience with TestRail as a test management system; Basic understanding of CI/CD processes; Intermediate English level. Nice to haves Understanding of LLM evaluation principles, including prompt engineering, output validation, and model fine-tuning cycles; Familiarity with AI and ML concepts, APIs, and frameworks such as OpenAI API , Azure OpenAI , or LangChain ; Knowledge of data protection and compliance standards for AI systems, including GDPR, zero-data retention, and PII anonymization; Experience with SSO testing; Experience in performance or load testing. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!