Senior Software Development Engineer in Test
About The Position
The Senior SDET will review functional requirements, user stories and test assets from internal stakeholders; build automated test cases, contribute to our test pipelines, and support the maintenance of the test assets as we deliver our releases to our growing client base. Responsibilities include applying expertise in specific product areas to ensure that the product suite meets documented acceptance criteria and client quality expectations, contributing to the expansion of our automated testing capabilities and coverage, and exploring and implementing AI-assisted testing strategies to enable, enhance, and augment QE team workflows and processes through skill development and agentic workflows. The role also involves evaluating and championing AI/ML tooling (e.g. test generation, defect prediction, intelligent test selection) to improve team velocity and quality coverage, instilling QA best practices on your scrum team by collaborating on test coverage, and the ability to write tests from abstract requirements. You will provide feedback on product performance and user experience, participate in all aspects of the Agile SDLC; providing constructive feedback during grooming, retrospectives, and planning sessions, and configure and verify continuous build plans in Jenkins and SonarQube to ensure quality of code changes. Additionally, you will contribute to the review of product documentation/release notes.
Requirements
- 7+ years of Software Quality Assurance experience, ideally with a focus in Financial Technology or related domain
- Experience working in a successful Agile environment using Agile SDLC tools such as Jira, Bitbucket, and Jenkins
- Foundational understanding of Git and GitHub, including pull requests, branching strategies, and code review workflows
- Experience with GitHub Actions for CI/CD pipeline automation and test workflow orchestration
- Coded UI Automation experience with Selenium WebDriver; Python and Pytest required
- Working knowledge of a scripting language
- Experience with web service and API testing (Postman or equivalent)
- SQL experience (MSSQL, Postgres)
- Experience with containerized environments and deployment tooling (Docker, Gradle)
- Familiarity with AI-assisted development and testing tools (e.g. Claude Code, AI-driven test generation, or LLM-based QA tooling)
- Demonstrated ability to operate on a small team in a fast-paced environment with the ability to change directions as priorities shift
- Positive attitude with a strong desire to learn, grow professionally, and have a positive impact on the company, its culture, and its products
Nice To Haves
- Groovy and Ruby on Rails a plus
- Performance testing experience; JMeter or Locust.io a plus
- Familiarity with code quality and static analysis tools such as SonarQube
- Experience with monitoring and observability tooling, including APM, log collection/analysis, InfluxDB, and Grafana
- Understanding of the deployment and maintenance of an N-Tier application in either manual or automated fashion
- Familiarity with testing in Spring frameworks
- Integration testing: inbound file processing, outbound file creation, API testing, configuration testing
- Experience with Financial technologies such as FIX, IDC, Reuters, Morningstar, or Bloomberg
- Ability to troubleshoot, diagnose, resolve, and explain system-level issues affecting the application
- Ability to work across teams and disciplines to find equitable solutions to problems that arise
- Experience applying AI/ML techniques to quality engineering challenges such as flaky test detection, risk-based test prioritization, or automated root cause analysis
- MSCS is a plus
Responsibilities
- Apply expertise in specific product areas to ensure that the product suite meets documented acceptance criteria and client quality expectations
- Contribute to the expansion of our automated testing capabilities and coverage
- Explore and implement AI-assisted testing strategies to enable, enhance, and augment QE team workflows and processes through skill development and agentic workflows
- Evaluate and champion AI/ML tooling (e.g. test generation, defect prediction, intelligent test selection) to improve team velocity and quality coverage
- Instill QA best practices on your scrum team by collaborating on test coverage
- Ability to write tests from abstract requirements
- Provide feedback on product performance and user experience
- Participate in all aspects of the Agile SDLC; providing constructive feedback during grooming, retrospectives, and planning sessions
- Configure and verify continuous build plans in Jenkins and SonarQube to ensure quality of code changes
- Contribute to the review of product documentation/release notes
Benefits
- company-paid medical premiums of 90%
- a competitive time-off program
- other variable compensation, if eligible
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
