Job 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
  • 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
  • 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
  • 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.

Required Skills

Experience

• 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
  • 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
  • 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
  • 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
• Data provisioning platforms

Experience leading modernization initiatives within complex brownfield environments.Knowledge of insurance domain systems and testing practices.

The base compensation range for this role in the posted location is $ 97371 to $121364

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, 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