VS
Sr SDET (AI-Augmented)
Veracity Software Inc
🇺🇸 United States
On-site
Senior
6 months ago
- AI
- Claude Code
- Playwright
- Copilot
- OpenAPI
- Maven
- Cucumber
- JDBC
- Oracle
- Java
- Spring Boot
- Microservices
- Python
- Jenkins
- CI/CD
- Jira
- XML
- JSON
- Kubernetes
- OpenShift
- triage
- REST API
- Docker
- Bitbucket
- Git
- SQL
- Dynatrace
- Kibana
- Helm
- GitOps
- RabbitMQ
- Integration Testing
6 months ago
Contract role
Location: Blue Bell, PA, Onsite
Job Description
We are seeking two hands-on Software Development Engineers in Test (SDETs) who treatAI as a core part of their workflow — not a convenience.
You will be embedded on delivery teams executing key platform initiatives within a high-stakes, high-velocity delivery program, writing automated tests from day one.
The defining expectation for these roles: you will useGitHub Copilot andClaude Code to build CLI-driven test tools, scaffold entire Karate feature file suites, and generate Playwright test scripts at a speed that a purely manual approach cannot match.
We want engineers who can sit down with a Copilot chat session, a service's OpenAPI spec, and emerge 30 minutes later with a working, parameterized Karate scenario suite.
What You'll Do:Author and maintain API and integration tests using the Karate framework (Karate DSL, JUnit5, Maven Surefire, Cucumber, JDBC for Oracle DB assertions) against Java/Spring Boot microservices Build Playwright + Python UI automation scripts for web-facing components; use Claude Code to generate page object models and test fixtures from design specs or running UIs Build bespoke CLI test tools in Python — driven by AI pair programming — that can hit service endpoints, validate responses, seed test data, or parse logs from the command line without needing a full test harness spun up Integrate all test suites into Jenkins CI/CD pipelines: write and own the pipeline stages, fix flaky tests, and keep quality gates green across dev, QA, perf, and e2e environments
Use AI tooling daily to: generate Karate .feature files from JIRA acceptance criteria, write Python test utilities from a prompt and a curl example, and debug pipeline failures by feeding stack traces to Claude Code for root-cause acceleration Generate and manage synthetic test data (XML claim payloads, JSON request bodies, Oracle seed scripts) — using AI to extrapolate realistic variant coverage from known examples Write contract tests that validate service API boundaries across independently deployed microservices on Kubernetes/OpenShift Partner with engineers during feature development to define testability requirements, shift coverage left, and prevent regressions before merge What We Expect from Your AI Usage
This is not a "familiarity with Copilot" checkbox. We expect: You can prompt GitHub Copilot or Claude Code to generate a full Karate feature file suite from an OpenAPI spec in under an hour You can build a working Python CLI tool from scratch using Claude Code in a single pairing session — something that calls a REST endpoint, parses the response, and outputs a pass/fail summary You use AI to accelerate debugging: pasting Jenkins log output or a failed test stack trace into Claude Code and iterating to a fix, not waiting for someone else to triage it You review and refine AI-generated test code — you are the quality bar, not the generator.
Required Skills & Experience: 3+ years of hands-on SDET or automation engineering experience on production systems
Proficiency in the Karate framework: DSL feature files, JUnit5 runner configuration, Maven Surefire integration, Cucumber reporting, and JDBC-backed DB assertions Playwright experience with Python for UI automation — locator strategy, async test patterns, CI integration
Strong Python scripting skills: building CLI tools, calling REST APIs with requests or HTTPs, parsing JSON/XML, writing reusable test utilities
Jenkins CI/CD: writing and debugging pipeline stages, not just running them Familiarity with Docker and Kubernetes/OpenShift for understanding service topology and test targeting Active, practiced daily user of GitHubCopilot andClaude Code — able to demonstrate concrete examples of test code you built with AI that you would not have written as fast by hand Comfortable in Bitbucket-based Git workflows with PR-based collaboration
Nice to Have ExperiencewithOracle/SQL — writing JDBC assertion queries for claim data validation Familiarity with Spring Boot test slices (@SpringBootTest) for white-box unit/integration test contribution Exposure to Dynatrace or Kibana for correlating test failures to observability signals Familiarity with Helm or GitOps-based deployment models for understanding what changed between test runs Experience with RabbitMQ or message-driven integration testing
Recruiter Submission Template:
Full Name:
Degree Major with University and Completion Year:
Total years of experience as a Sr SDET?
Total years of experience with GitHub Copilot?
Total years of experience with Claude Code
Total years of experience with Karate Framework?
Total years of experience with Python ?
Total years of experience with CLI ?
Total years of experience with Jenkins CI/CD?
Total years of experience with API & Microservices Testing?
Total years of experience with Playwright?
Reason for interest in this position:
Contact Number:
Email ID:
LinkedIn Profile URL:
Full Address (Street, City, State, Zip Code):
Notice Period (in weeks):
Current Work Authorization Status:
Hourly pay rate expectation:
Are you willing to relocate and work onsite at Blue Bell, PA,? (Yes/No):
Sr SDET (AI-Augmented) · Veracity Software Inc