Software Development Engineer in Test

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

Skills & 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; Groovy and Ruby on Rails a plus
• Experience with web service and API testing (Postman or equivalent)
• Performance testing experience; JMeter or Locust.io a plus
• 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

Desired Skills

• 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

Education

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

Pay

Salary range: $95,000 - $120,000 USD