6 дней назад
Lead Software Development Engineer (AI)
129 500 - 186 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Software Development Engineer (AI and Quality Engineering): Building scalable test automation frameworks, shared engineering platforms, and AI-enabled validation capabilities with an accent on browser, API, integration, performance, accessibility, and end-to-end testing. Focus on integrating quality gates into CI/CD, improving observability and diagnostics, and designing governed agentic workflows with Claude Code, MCP, and AI coding assistants.
Location: Lowell, Massachusetts, United States
Salary: $129,500–$186,100 annually, plus potential performance-based bonus and restricted stock unit awards.
Company
provides a workforce operating platform with workforce insights and people-first AI.
What you will do
- Design and build scalable automation frameworks, shared services, libraries, developer tools, and reusable engineering patterns.
- Develop browser, API, integration, contract, performance, accessibility, and end-to-end testing capabilities.
- Define standards for automation architecture, code quality, testability, reliability, and maintainability.
- Integrate quality checks, release validations, and quality gates into CI/CD pipelines while improving speed, parallelization, stability, and feedback.
- Build observability into automation platforms using logs, metrics, traces, dashboards, and alerts.
- Partner with development, DevOps, SRE, security, architecture, and release teams; mentor engineers and manual testers.
Requirements
- 8+ years of experience in software engineering, quality engineering, DevOps, SRE, platform engineering, test architecture, or a related discipline.
- Strong programming skills in TypeScript, JavaScript, Python, Java, C#, or a comparable language.
- Hands-on experience with Playwright, Selenium WebDriver, or similar browser automation technologies, plus API, integration, contract, and end-to-end testing.
- Experience with Azure DevOps, GitHub Actions, or Jenkins, as well as Git, pull requests, code reviews, build systems, and deployment workflows.
- Experience with Docker, Kubernetes, cloud services, modern application architectures, and observability practices.
- Hands-on experience with Claude Code, Codex, or comparable AI coding assistants, including MCP, tool calling, agentic application development, and safe governance of AI-generated code.
Nice to have
- Experience building shared engineering platforms, developer-productivity tools, or reusable automation solutions.
- Experience with OpenTelemetry, Azure Monitor, Application Insights, Datadog, Grafana, or Splunk.
- Knowledge of performance, security, accessibility, resiliency, and production-validation practices.
- Experience with retrieval-augmented generation, vector search, AI evaluation, or multi-agent systems.
Culture & Benefits
- Work in a learning-focused environment that supports flexibility and collaborative engineering.
- Employees may receive performance-based bonuses and restricted stock unit awards.
- is an equal opportunity employer and provides disability accommodation during the application and interview process.
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