- Location
- Lowell, MA,US, US · US
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Experience
- 8+ years
- Source
- Eightfold
Description
Design and build scalable, maintainable automation frameworks, shared services, libraries, developer tools, and reusable engineering patterns. Develop capabilities for browser, API, integration, contract, performance, accessibility, and end-to-end testing. Define automation standards covering architecture, code quality, testability, reliability, and maintainability. Integrate quality checks, release validations, and quality gates into CI/CD pipelines while improving execution speed, parallelization, stability, diagnostics, and feedback time. Build observability into automation platforms through logs, metrics, traces, dashboards, and alerts, and correlate test results with build, deployment, application, and production telemetry. Partner with development, DevOps, SRE, security, architecture, and release teams to improve delivery quality and reduce duplicated frameworks. Mentor engineers and manual testers in software development, automation, DevOps, and AI-assisted engineering. 8+ years of experience in software engineering, quality engineering, DevOps, SRE, platform engineering, test architecture, or a related discipline, including strong technical leadership, communication, and mentoring skills. Strong programming proficiency in TypeScript, JavaScript, Python, Java, C#, or a comparable language, with experience designing maintainable automation frameworks or internal engineering platforms. Hands-on experience with Playwright, Selenium WebDriver, or similar browser automation technologies, along with API, integration, contract, and end-to-end testing. Experience with CI/CD platforms such as Azure DevOps, GitHub Actions, or Jenkins, and practical knowledge of Git, pull requests, code reviews, build systems, and deployment workflows. Experience with Docker, Kubernetes, cloud services, modern application architectures, and observability practices, including logging, metrics, tracing, dashboards, and failure diagnostics. Hands-on experience using Claude Code, Codex, or comparable AI coding assistants for substantive engineering work, with practical knowledge of MCP, tool calling, and agentic application development. Ability to evaluate, govern, and safely manage AI-generated code and autonomous workflows. Experience building shared engineering platforms, developer-productivity tools, or reusable automation solutions. Experience with observability technologies such as 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. Experience modernizing manual testing processes and replacing tool-specific automation with scalable, reusable engineering solutions.
