Lead Test Automation Engineer with Playwright

About the role

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Responsibilities

• Platform Re-Architecture & Service Evolution
  • Lead the re-platforming of the existing IDE-bound QE harness into a scalable, multi-tenant ORBIT service.
  • Design and implement headless execution capabilities with API-driven and event-driven interfaces.
  • Build durable orchestration frameworks supporting: asynchronous execution, queued workloads, scheduled test runs, long-running workflows, failure recovery and retry mechanisms.
  • Establish robust service-level reliability, observability, and operational excellence standards.
• End-to-End Quality Engineering Integration
  • Integrate the harness into the E2E quality engineering spine, including: Requirements, SpecRecord, CodeGen, Test Generation, Test Execution, and Promotion workflows.
  • Enable seamless automation flow across development, testing, and release pipelines.
• Architecture & Platform Integrations
  • Integrate with: TDM (Test Data Management) two-lane architecture, Repo Knowledge Plane, and internal engineering platform services and APIs.
  • Design scalable service contracts and event schemas to support ecosystem-wide interoperability.
• Quality Signals & Promotion Intelligence
  • Design telemetry and observability frameworks for execution analytics.
  • Implement: flake detection, stability scoring, reliability trending, and promotion gating mechanisms.
  • Drive data-informed release decisions through measurable quality signals.
• AI and Agentic Framework Integration
  • Build deterministic workflows around agentic and LLM-powered capabilities.
  • Develop controls that balance autonomous behavior with engineering predictability and governance.
  • Optimize token consumption and LLM operating costs as first-class architectural constraints.
• Engineering Leadership
  • Define platform engineering best practices, standards, and patterns.
  • Mentor engineers and contribute to architecture reviews and technical strategy.
  • Partner with QE, platform engineering, DevOps, and AI engineering teams to drive adoption and platform success.

Experience Required

• 8+ years of software engineering experience, with significant recent experience in backend and platform engineering.
• Proven track record re-platforming an IDE-centric, desktop, or developer-facing tool into a scalable shared service.
• Experience building highly available distributed systems and internal developer platforms.

Technical Skills

• Strong proficiency in Python and/or TypeScript.
• Deep expertise in: API design, event-driven systems, workflow orchestration, and microservices architectures.
• Experience building services on Kubernetes, OpenShift, or ROSA environments.

Quality Engineering Expertise

• Strong background in automated testing strategies and frameworks.
• Hands-on experience with: Gherkin / BDD, Playwright, Selenium, and CI/CD pipeline integration.
• Experience developing and maintaining large-scale test execution platforms.

AI, Agents & Automation

• Practical experience with agentic AI frameworks such as: LangGraph, CrewAI, Strands, or similar orchestration frameworks.
• Ability to design deterministic control mechanisms around probabilistic AI systems.
• Understanding of LLM economics, token usage optimization, and cost-aware AI solution design.

Preferred Qualifications

• Experience with ROSA/OpenShift platform operations.
• Familiarity with Snowflake, AI Gateway architectures, and enterprise AI integration patterns.
• Ownership experience in: Test Data Management (TDM), synthetic data pipelines, and data provisioning platforms.
• Experience leading modernization initiatives within complex brownfield environments.
• Knowledge of insurance domain systems and testing practices.

Pay

The base compensation range for this role in the posted location is $97371 to $121364. The actual compensation offered may fall outside of the posted range and will be determined based on multiple factors including geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business consideration, and internal pay equity. This role may also be eligible for additional compensation such as variable incentives, bonuses, or commissions.

Benefits

Capgemini offers a comprehensive benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits may include:

• Paid time off based on employee grade (A-F): Vacation (12-25 days, depending on grade), company paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

Schedule

This is a full-time, regular position.