Software Development Engineer in Test

Vestmark, Inc.•Boston, MA

1d•$95,000 - $120,000•Hybrid

About The Position

The Software Development Engineer in Test (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.

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

Nice To Haves

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

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