5 часов назад
Integration & Test Automation Engineer (AI Platform)
101 157 - 199 036$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Integration & Test Automation Engineer (AI Platform) (Python, Kubernetes, GitLab CI/CD): Building and maintaining automated unit, integration, regression, and end-to-end test suites for AI-enabled platform integrations with an accent on API, microservices, MBSE, and cloud-environment validation. Focus on integrating tests into multi-stage DevSecOps pipelines, designing performance and security test plans, and analyzing failures across development, staging, and production.
Location: Home, Virginia; 100% remote work allowed
Salary: $101,156.77–$199,035.68 per year
Company
is a federal government contractor developing AI-enabled engineering solutions.
What you will do
- Develop and maintain automated unit, integration, regression, and end-to-end test suites using Pytest, JUnit, Selenium, and Cypress.
- Validate integrations across REST APIs, microservices, MBSE layers, and AI pipeline components.
- Integrate automated testing into GitLab CI/CD pipelines with stage gates across local, development, staging, and production environments.
- Design and execute system, performance, security, and UAT test plans while tracking coverage and exit criteria.
- Build, deploy, and test cloud-based environments using AWS or Azure, Kubernetes, Docker, Terraform, and CloudFormation.
- Analyze failures, support debugging, and collaborate with development, systems engineering, platform, quality, and customer-facing teams.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, with the specified level of professional experience.
- 2–5 years of experience in software or systems testing or QA.
- Experience automating tests with modern frameworks such as Pytest, JUnit, Selenium, or Cypress.
- Experience testing REST APIs, microservices, and Docker/Kubernetes applications.
- Hands-on experience with GitLab, automated pipelines, branching, merging, and artifact promotion.
- Ability to obtain and maintain Secret Clearance.
Nice to have
- Experience with load testing, DAST/IAST, runtime security scanning, or Prometheus/Grafana observability.
- Experience evaluating AI model outputs or incorporating model quality into test plans using MLflow or similar tools.
- Familiarity with digital engineering, SysML, Cameo Systems Modeler, or model-based systems workflows.
- Experience preparing validation evidence, test reports, and formal acceptance reviews.
Culture & Benefits
- Health, life, disability, retirement, and savings benefits may be available depending on the position.
- Paid time off and holiday pay.
- Learning and development opportunities and wellness programs.
- Optional benefits elections.
- Remote work is allowed 100% for this position.
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